Problem 1¶
Mount Google Drive¶
In [4]:
from google.colab import drive
drive.mount("/content/drive")
dir = "/content/drive/My Drive/Colab Notebooks/Deep Learning/HW2"
Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount("/content/drive", force_remount=True).
Imports¶
In [5]:
import numpy as np
from tensorflow import keras
import tensorflow as tf
from tensorflow.keras import layers
import scipy
!pip install librosa # in colab, you’ll need to install this
import librosa
Requirement already satisfied: librosa in /usr/local/lib/python3.6/dist-packages (0.6.3) Requirement already satisfied: resampy>=0.2.0 in /usr/local/lib/python3.6/dist-packages (from librosa) (0.2.2) Requirement already satisfied: six>=1.3 in /usr/local/lib/python3.6/dist-packages (from librosa) (1.15.0) Requirement already satisfied: scikit-learn!=0.19.0,>=0.14.0 in /usr/local/lib/python3.6/dist-packages (from librosa) (0.22.2.post1) Requirement already satisfied: scipy>=1.0.0 in /usr/local/lib/python3.6/dist-packages (from librosa) (1.4.1) Requirement already satisfied: joblib>=0.12 in /usr/local/lib/python3.6/dist-packages (from librosa) (0.16.0) Requirement already satisfied: numpy>=1.8.0 in /usr/local/lib/python3.6/dist-packages (from librosa) (1.18.5) Requirement already satisfied: decorator>=3.0.0 in /usr/local/lib/python3.6/dist-packages (from librosa) (4.4.2) Requirement already satisfied: audioread>=2.0.0 in /usr/local/lib/python3.6/dist-packages (from librosa) (2.1.8) Requirement already satisfied: numba>=0.38.0 in /usr/local/lib/python3.6/dist-packages (from librosa) (0.48.0) Requirement already satisfied: llvmlite<0.32.0,>=0.31.0dev0 in /usr/local/lib/python3.6/dist-packages (from numba>=0.38.0->librosa) (0.31.0) Requirement already satisfied: setuptools in /usr/local/lib/python3.6/dist-packages (from numba>=0.38.0->librosa) (50.3.0)
In [6]:
def readAudio(file_name):
s, sr = librosa.load(file_name, sr=None)
S = librosa.stft(s, n_fft=1024, hop_length=512)
S_abs = np.abs(S).T #get absolute values and transpose to get each row as spectrum
S = S.T #transpose values
return(S, S_abs, sr)
In [7]:
#Read main and test audio files and convert to spectrograms
# |X| = dirty signal
# |S| = clean sgnal
S, S_abs, sr = readAudio('drive/My Drive/Colab Notebooks/Deep Learning/HW2/train_clean_male.wav')
X, X_abs, sr = readAudio('drive/My Drive/Colab Notebooks/Deep Learning/HW2/train_dirty_male.wav')
test1, test1_abs, sr = readAudio('drive/My Drive/Colab Notebooks/Deep Learning/HW2/test_x_01.wav')
test2, test2_abs, sr = readAudio('drive/My Drive/Colab Notebooks/Deep Learning/HW2/test_x_02.wav')
In [8]:
print(X_abs.shape)
print(S_abs.shape)
(2459, 513) (2459, 513)
In [9]:
X_abs = X_abs.reshape(2459,513,1)
In [10]:
#Create 1D CNN with 2 hidden layers
shape = (513,1) # Define shape of input for Keras model
#nb_features = 64 # number of features per features type (shape, texture, margin)
model = keras.Sequential(
[
tf.keras.layers.Input(shape=shape),
tf.keras.layers.Conv1D(filters=32, kernel_size=2,activation='relu'),
tf.keras.layers.MaxPooling1D(pool_size=3, strides=2),
tf.keras.layers.Flatten(),
tf.keras.layers.Dense(513, activation='relu')
]
)
model.summary()
Model: "sequential" _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= conv1d (Conv1D) (None, 512, 32) 96 _________________________________________________________________ max_pooling1d (MaxPooling1D) (None, 255, 32) 0 _________________________________________________________________ flatten (Flatten) (None, 8160) 0 _________________________________________________________________ dense (Dense) (None, 513) 4186593 ================================================================= Total params: 4,186,689 Trainable params: 4,186,689 Non-trainable params: 0 _________________________________________________________________
In [11]:
#Compile and fit the model
model.compile(loss="MeanSquaredError", optimizer="adam", metrics=["accuracy"])
model.fit(X_abs, S_abs, batch_size=50, epochs=50, validation_split=0.1)
Epoch 1/50 45/45 [==============================] - 0s 7ms/step - loss: 0.0616 - accuracy: 0.0764 - val_loss: 0.0238 - val_accuracy: 0.1504 Epoch 2/50 45/45 [==============================] - 0s 3ms/step - loss: 0.0308 - accuracy: 0.2296 - val_loss: 0.0175 - val_accuracy: 0.2439 Epoch 3/50 45/45 [==============================] - 0s 3ms/step - loss: 0.0190 - accuracy: 0.3086 - val_loss: 0.0134 - val_accuracy: 0.3008 Epoch 4/50 45/45 [==============================] - 0s 3ms/step - loss: 0.0145 - accuracy: 0.3660 - val_loss: 0.0120 - val_accuracy: 0.3333 Epoch 5/50 45/45 [==============================] - 0s 3ms/step - loss: 0.0122 - accuracy: 0.4031 - val_loss: 0.0102 - val_accuracy: 0.3659 Epoch 6/50 45/45 [==============================] - 0s 3ms/step - loss: 0.0110 - accuracy: 0.4121 - val_loss: 0.0099 - val_accuracy: 0.3699 Epoch 7/50 45/45 [==============================] - 0s 3ms/step - loss: 0.0101 - accuracy: 0.4302 - val_loss: 0.0097 - val_accuracy: 0.3902 Epoch 8/50 45/45 [==============================] - 0s 3ms/step - loss: 0.0096 - accuracy: 0.4419 - val_loss: 0.0089 - val_accuracy: 0.4268 Epoch 9/50 45/45 [==============================] - 0s 3ms/step - loss: 0.0092 - accuracy: 0.4442 - val_loss: 0.0087 - val_accuracy: 0.4431 Epoch 10/50 45/45 [==============================] - 0s 3ms/step - loss: 0.0086 - accuracy: 0.4573 - val_loss: 0.0078 - val_accuracy: 0.4146 Epoch 11/50 45/45 [==============================] - 0s 4ms/step - loss: 0.0084 - accuracy: 0.4573 - val_loss: 0.0079 - val_accuracy: 0.4472 Epoch 12/50 45/45 [==============================] - 0s 4ms/step - loss: 0.0079 - accuracy: 0.4686 - val_loss: 0.0079 - val_accuracy: 0.4512 Epoch 13/50 45/45 [==============================] - 0s 3ms/step - loss: 0.0078 - accuracy: 0.4763 - val_loss: 0.0078 - val_accuracy: 0.4715 Epoch 14/50 45/45 [==============================] - 0s 3ms/step - loss: 0.0078 - accuracy: 0.4822 - val_loss: 0.0076 - val_accuracy: 0.4675 Epoch 15/50 45/45 [==============================] - 0s 3ms/step - loss: 0.0075 - accuracy: 0.4862 - val_loss: 0.0075 - val_accuracy: 0.4512 Epoch 16/50 45/45 [==============================] - 0s 3ms/step - loss: 0.0073 - accuracy: 0.4862 - val_loss: 0.0075 - val_accuracy: 0.4553 Epoch 17/50 45/45 [==============================] - 0s 3ms/step - loss: 0.0072 - accuracy: 0.4867 - val_loss: 0.0073 - val_accuracy: 0.4715 Epoch 18/50 45/45 [==============================] - 0s 3ms/step - loss: 0.0069 - accuracy: 0.4930 - val_loss: 0.0072 - val_accuracy: 0.4715 Epoch 19/50 45/45 [==============================] - 0s 3ms/step - loss: 0.0067 - accuracy: 0.4944 - val_loss: 0.0073 - val_accuracy: 0.4634 Epoch 20/50 45/45 [==============================] - 0s 3ms/step - loss: 0.0067 - accuracy: 0.5047 - val_loss: 0.0072 - val_accuracy: 0.4756 Epoch 21/50 45/45 [==============================] - 0s 6ms/step - loss: 0.0073 - accuracy: 0.4962 - val_loss: 0.0074 - val_accuracy: 0.4756 Epoch 22/50 45/45 [==============================] - 0s 3ms/step - loss: 0.0068 - accuracy: 0.5020 - val_loss: 0.0072 - val_accuracy: 0.4593 Epoch 23/50 45/45 [==============================] - 0s 3ms/step - loss: 0.0065 - accuracy: 0.5061 - val_loss: 0.0071 - val_accuracy: 0.4634 Epoch 24/50 45/45 [==============================] - 0s 3ms/step - loss: 0.0062 - accuracy: 0.5047 - val_loss: 0.0070 - val_accuracy: 0.4797 Epoch 25/50 45/45 [==============================] - 0s 3ms/step - loss: 0.0061 - accuracy: 0.5120 - val_loss: 0.0071 - val_accuracy: 0.4715 Epoch 26/50 45/45 [==============================] - 0s 3ms/step - loss: 0.0061 - accuracy: 0.5115 - val_loss: 0.0071 - val_accuracy: 0.4675 Epoch 27/50 45/45 [==============================] - 0s 3ms/step - loss: 0.0065 - accuracy: 0.5160 - val_loss: 0.0070 - val_accuracy: 0.4715 Epoch 28/50 45/45 [==============================] - 0s 3ms/step - loss: 0.0065 - accuracy: 0.5129 - val_loss: 0.0071 - val_accuracy: 0.4675 Epoch 29/50 45/45 [==============================] - 0s 3ms/step - loss: 0.0063 - accuracy: 0.5079 - val_loss: 0.0070 - val_accuracy: 0.4715 Epoch 30/50 45/45 [==============================] - 0s 3ms/step - loss: 0.0059 - accuracy: 0.5169 - val_loss: 0.0071 - val_accuracy: 0.4878 Epoch 31/50 45/45 [==============================] - 0s 3ms/step - loss: 0.0059 - accuracy: 0.5206 - val_loss: 0.0069 - val_accuracy: 0.4837 Epoch 32/50 45/45 [==============================] - 0s 3ms/step - loss: 0.0057 - accuracy: 0.5228 - val_loss: 0.0071 - val_accuracy: 0.4715 Epoch 33/50 45/45 [==============================] - 0s 3ms/step - loss: 0.0056 - accuracy: 0.5133 - val_loss: 0.0069 - val_accuracy: 0.4959 Epoch 34/50 45/45 [==============================] - 0s 3ms/step - loss: 0.0055 - accuracy: 0.5206 - val_loss: 0.0068 - val_accuracy: 0.4756 Epoch 35/50 45/45 [==============================] - 0s 3ms/step - loss: 0.0054 - accuracy: 0.5233 - val_loss: 0.0070 - val_accuracy: 0.4837 Epoch 36/50 45/45 [==============================] - 0s 3ms/step - loss: 0.0054 - accuracy: 0.5178 - val_loss: 0.0069 - val_accuracy: 0.4756 Epoch 37/50 45/45 [==============================] - 0s 3ms/step - loss: 0.0054 - accuracy: 0.5219 - val_loss: 0.0068 - val_accuracy: 0.4675 Epoch 38/50 45/45 [==============================] - 0s 3ms/step - loss: 0.0053 - accuracy: 0.5188 - val_loss: 0.0067 - val_accuracy: 0.4593 Epoch 39/50 45/45 [==============================] - 0s 3ms/step - loss: 0.0052 - accuracy: 0.5210 - val_loss: 0.0066 - val_accuracy: 0.4756 Epoch 40/50 45/45 [==============================] - 0s 3ms/step - loss: 0.0052 - accuracy: 0.5197 - val_loss: 0.0067 - val_accuracy: 0.4797 Epoch 41/50 45/45 [==============================] - 0s 3ms/step - loss: 0.0050 - accuracy: 0.5210 - val_loss: 0.0068 - val_accuracy: 0.4756 Epoch 42/50 45/45 [==============================] - 0s 3ms/step - loss: 0.0050 - accuracy: 0.5273 - val_loss: 0.0068 - val_accuracy: 0.4756 Epoch 43/50 45/45 [==============================] - 0s 3ms/step - loss: 0.0049 - accuracy: 0.5264 - val_loss: 0.0065 - val_accuracy: 0.4756 Epoch 44/50 45/45 [==============================] - 0s 3ms/step - loss: 0.0050 - accuracy: 0.5269 - val_loss: 0.0067 - val_accuracy: 0.4756 Epoch 45/50 45/45 [==============================] - 0s 3ms/step - loss: 0.0050 - accuracy: 0.5188 - val_loss: 0.0066 - val_accuracy: 0.4715 Epoch 46/50 45/45 [==============================] - 0s 3ms/step - loss: 0.0050 - accuracy: 0.5305 - val_loss: 0.0065 - val_accuracy: 0.4756 Epoch 47/50 45/45 [==============================] - 0s 3ms/step - loss: 0.0050 - accuracy: 0.5314 - val_loss: 0.0065 - val_accuracy: 0.4797 Epoch 48/50 45/45 [==============================] - 0s 3ms/step - loss: 0.0050 - accuracy: 0.5287 - val_loss: 0.0066 - val_accuracy: 0.4756 Epoch 49/50 45/45 [==============================] - 0s 3ms/step - loss: 0.0048 - accuracy: 0.5305 - val_loss: 0.0064 - val_accuracy: 0.4634 Epoch 50/50 45/45 [==============================] - 0s 3ms/step - loss: 0.0048 - accuracy: 0.5305 - val_loss: 0.0066 - val_accuracy: 0.4512
Out[11]:
<tensorflow.python.keras.callbacks.History at 0x7f85f0225fd0>
In [12]:
#Use trained models to perform predictions
test1_predict = model.predict(test1_abs[:,:,np.newaxis])
test2_predict = model.predict(test2_abs[:,:,np.newaxis])
In [13]:
s1 = np.multiply((test1/test1_abs).T, np.abs(test1_predict).T)
s2 = np.multiply((test2/test2_abs).T, np.abs(test2_predict).T)
In [14]:
scipy.signal.istft(s1)
sh_test1 = scipy.signal.istft(s1)
scipy.signal.istft(s2)
sh_test2 = scipy.signal.istft(s2)
In [15]:
#Conver to Numpy Arrays
sh_test1 = np.array(sh_test1)
sh_test2 = np.array(sh_test2)
In [16]:
librosa.output.write_wav('test_s_01_recons.wav', sh_test1, sr)
librosa.output.write_wav('test_s_02_recons.wav', sh_test2, sr)
In [17]:
from IPython.display import Audio
Audio('test_s_01_recons.wav')
Out[17]:
In [18]:
from IPython.display import Audio
Audio('test_s_02_recons.wav')
Output hidden; open in https://colab.research.google.com to view.
In [19]:
#SNR Function
def SNR(y,yhat):
num = np.sum(np.square(y))
dem = np.sum(np.square(y-yhat))
return 10 * np.log10(num/dem)
In [20]:
SNR(test1_abs,test1_predict)
Out[20]:
7.671246528625488
Problem 2¶
Imports¶
In [71]:
import numpy as np
from tensorflow import keras
import tensorflow as tf
from tensorflow.keras import layers
import scipy
!pip install librosa # in colab, you’ll need to install this
import librosa
Requirement already satisfied: librosa in /usr/local/lib/python3.6/dist-packages (0.6.3) Requirement already satisfied: six>=1.3 in /usr/local/lib/python3.6/dist-packages (from librosa) (1.15.0) Requirement already satisfied: audioread>=2.0.0 in /usr/local/lib/python3.6/dist-packages (from librosa) (2.1.8) Requirement already satisfied: resampy>=0.2.0 in /usr/local/lib/python3.6/dist-packages (from librosa) (0.2.2) Requirement already satisfied: decorator>=3.0.0 in /usr/local/lib/python3.6/dist-packages (from librosa) (4.4.2) Requirement already satisfied: scipy>=1.0.0 in /usr/local/lib/python3.6/dist-packages (from librosa) (1.4.1) Requirement already satisfied: numba>=0.38.0 in /usr/local/lib/python3.6/dist-packages (from librosa) (0.48.0) Requirement already satisfied: scikit-learn!=0.19.0,>=0.14.0 in /usr/local/lib/python3.6/dist-packages (from librosa) (0.22.2.post1) Requirement already satisfied: joblib>=0.12 in /usr/local/lib/python3.6/dist-packages (from librosa) (0.16.0) Requirement already satisfied: numpy>=1.8.0 in /usr/local/lib/python3.6/dist-packages (from librosa) (1.18.5) Requirement already satisfied: setuptools in /usr/local/lib/python3.6/dist-packages (from numba>=0.38.0->librosa) (50.3.0) Requirement already satisfied: llvmlite<0.32.0,>=0.31.0dev0 in /usr/local/lib/python3.6/dist-packages (from numba>=0.38.0->librosa) (0.31.0)
In [72]:
#Read main and test audio files and convert to spectrograms
# |X| = dirty signal
# |S| = clean sgnal
S, S_abs, sr = readAudio('drive/My Drive/Colab Notebooks/Deep Learning/HW2/train_clean_male.wav')
X, X_abs, sr = readAudio('drive/My Drive/Colab Notebooks/Deep Learning/HW2/train_dirty_male.wav')
test1, test1_abs, sr = readAudio('drive/My Drive/Colab Notebooks/Deep Learning/HW2/test_x_01.wav')
test2, test2_abs, sr = readAudio('drive/My Drive/Colab Notebooks/Deep Learning/HW2/test_x_02.wav')
In [73]:
#Create 19 silent frames
silent_padding = np.zeros((19, 20, 513)) +.0000001
silent_padding.shape
Out[73]:
(19, 20, 513)
In [74]:
#Create function to transform array of examples into images for 2D CNN
def image_shape(x):
image_list = []
for i in range(x.shape[0]-19):
image_list.append(x[i:i+20,0:513])
image_list = np.array(image_list)
image_list = np.concatenate((silent_padding,image_list))
return image_list
In [75]:
#Call function and return new array
X_abs_final = image_shape(X_abs)
X_abs_final = X_abs_final.reshape(2459,20,513,1)
print(X_abs_final.shape)
(2459, 20, 513, 1)
In [88]:
#Create 2D CNN with 2 hidden layers
shape = (20,513,1) # Define shape of input for Keras model
model = keras.Sequential(
[
tf.keras.layers.Input(shape=shape),
tf.keras.layers.Conv2D(filters=32, kernel_size=(2,2),activation='relu'),
tf.keras.layers.MaxPooling2D(pool_size=(3,3), strides=2),
tf.keras.layers.Flatten(),
tf.keras.layers.Dense(513, activation='relu')
]
)
model.summary()
Model: "sequential_4" _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= conv2d_3 (Conv2D) (None, 19, 512, 32) 160 _________________________________________________________________ max_pooling2d_3 (MaxPooling2 (None, 9, 255, 32) 0 _________________________________________________________________ flatten_4 (Flatten) (None, 73440) 0 _________________________________________________________________ dense_4 (Dense) (None, 513) 37675233 ================================================================= Total params: 37,675,393 Trainable params: 37,675,393 Non-trainable params: 0 _________________________________________________________________
In [89]:
#Compile and fit the model
model.compile(loss="MeanSquaredError", optimizer="adam", metrics=["accuracy"])
#model.fit(S_abs[:,:,np.newaxis], X_abs[:,np.newaxis,:], batch_size=50, epochs=50, validation_split=0.1)
model.fit(X_abs_final, S_abs, batch_size=50, epochs=500, validation_split=0.1)
Epoch 1/500 45/45 [==============================] - 1s 16ms/step - loss: 0.1025 - accuracy: 0.0325 - val_loss: 0.0484 - val_accuracy: 0.0122 Epoch 2/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0929 - accuracy: 0.0511 - val_loss: 0.0473 - val_accuracy: 0.0122 Epoch 3/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0871 - accuracy: 0.0682 - val_loss: 0.0457 - val_accuracy: 0.0244 Epoch 4/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0823 - accuracy: 0.0773 - val_loss: 0.0465 - val_accuracy: 0.0163 Epoch 5/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0796 - accuracy: 0.0881 - val_loss: 0.0461 - val_accuracy: 0.0163 Epoch 6/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0751 - accuracy: 0.1066 - val_loss: 0.0448 - val_accuracy: 0.0163 Epoch 7/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0706 - accuracy: 0.1039 - val_loss: 0.0445 - val_accuracy: 0.0285 Epoch 8/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0674 - accuracy: 0.1179 - val_loss: 0.0440 - val_accuracy: 0.0285 Epoch 9/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0651 - accuracy: 0.1351 - val_loss: 0.0434 - val_accuracy: 0.0407 Epoch 10/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0635 - accuracy: 0.1419 - val_loss: 0.0433 - val_accuracy: 0.0285 Epoch 11/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0613 - accuracy: 0.1451 - val_loss: 0.0420 - val_accuracy: 0.0244 Epoch 12/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0590 - accuracy: 0.1532 - val_loss: 0.0407 - val_accuracy: 0.0447 Epoch 13/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0568 - accuracy: 0.1676 - val_loss: 0.0408 - val_accuracy: 0.0610 Epoch 14/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0554 - accuracy: 0.1740 - val_loss: 0.0408 - val_accuracy: 0.0407 Epoch 15/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0546 - accuracy: 0.1808 - val_loss: 0.0411 - val_accuracy: 0.0488 Epoch 16/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0543 - accuracy: 0.1844 - val_loss: 0.0406 - val_accuracy: 0.0569 Epoch 17/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0534 - accuracy: 0.1853 - val_loss: 0.0400 - val_accuracy: 0.0610 Epoch 18/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0529 - accuracy: 0.1911 - val_loss: 0.0405 - val_accuracy: 0.0610 Epoch 19/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0511 - accuracy: 0.1993 - val_loss: 0.0392 - val_accuracy: 0.0813 Epoch 20/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0493 - accuracy: 0.2169 - val_loss: 0.0392 - val_accuracy: 0.0650 Epoch 21/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0486 - accuracy: 0.2268 - val_loss: 0.0394 - val_accuracy: 0.0854 Epoch 22/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0484 - accuracy: 0.2223 - val_loss: 0.0392 - val_accuracy: 0.0813 Epoch 23/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0480 - accuracy: 0.2305 - val_loss: 0.0394 - val_accuracy: 0.0732 Epoch 24/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0483 - accuracy: 0.2332 - val_loss: 0.0394 - val_accuracy: 0.0650 Epoch 25/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0475 - accuracy: 0.2440 - val_loss: 0.0389 - val_accuracy: 0.0691 Epoch 26/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0470 - accuracy: 0.2467 - val_loss: 0.0384 - val_accuracy: 0.0732 Epoch 27/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0469 - accuracy: 0.2485 - val_loss: 0.0391 - val_accuracy: 0.0813 Epoch 28/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0469 - accuracy: 0.2431 - val_loss: 0.0386 - val_accuracy: 0.0772 Epoch 29/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0480 - accuracy: 0.2323 - val_loss: 0.0392 - val_accuracy: 0.0813 Epoch 30/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0468 - accuracy: 0.2476 - val_loss: 0.0387 - val_accuracy: 0.0813 Epoch 31/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0463 - accuracy: 0.2521 - val_loss: 0.0389 - val_accuracy: 0.0691 Epoch 32/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0457 - accuracy: 0.2576 - val_loss: 0.0384 - val_accuracy: 0.0772 Epoch 33/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0459 - accuracy: 0.2639 - val_loss: 0.0388 - val_accuracy: 0.0894 Epoch 34/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0454 - accuracy: 0.2630 - val_loss: 0.0381 - val_accuracy: 0.0772 Epoch 35/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0452 - accuracy: 0.2657 - val_loss: 0.0380 - val_accuracy: 0.0732 Epoch 36/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0449 - accuracy: 0.2738 - val_loss: 0.0383 - val_accuracy: 0.0610 Epoch 37/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0449 - accuracy: 0.2747 - val_loss: 0.0384 - val_accuracy: 0.0610 Epoch 38/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0448 - accuracy: 0.2720 - val_loss: 0.0382 - val_accuracy: 0.0854 Epoch 39/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0447 - accuracy: 0.2820 - val_loss: 0.0382 - val_accuracy: 0.0854 Epoch 40/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0445 - accuracy: 0.2815 - val_loss: 0.0381 - val_accuracy: 0.0854 Epoch 41/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0446 - accuracy: 0.2734 - val_loss: 0.0381 - val_accuracy: 0.0691 Epoch 42/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0449 - accuracy: 0.2702 - val_loss: 0.0386 - val_accuracy: 0.0691 Epoch 43/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0451 - accuracy: 0.2634 - val_loss: 0.0379 - val_accuracy: 0.0813 Epoch 44/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0450 - accuracy: 0.2756 - val_loss: 0.0376 - val_accuracy: 0.0772 Epoch 45/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0446 - accuracy: 0.2639 - val_loss: 0.0379 - val_accuracy: 0.0732 Epoch 46/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0446 - accuracy: 0.2747 - val_loss: 0.0377 - val_accuracy: 0.0772 Epoch 47/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0444 - accuracy: 0.2720 - val_loss: 0.0373 - val_accuracy: 0.0935 Epoch 48/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0441 - accuracy: 0.2770 - val_loss: 0.0375 - val_accuracy: 0.0935 Epoch 49/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0438 - accuracy: 0.2793 - val_loss: 0.0374 - val_accuracy: 0.0854 Epoch 50/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0435 - accuracy: 0.2933 - val_loss: 0.0376 - val_accuracy: 0.0813 Epoch 51/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0433 - accuracy: 0.2924 - val_loss: 0.0375 - val_accuracy: 0.0813 Epoch 52/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0434 - accuracy: 0.2838 - val_loss: 0.0373 - val_accuracy: 0.1016 Epoch 53/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0434 - accuracy: 0.2793 - val_loss: 0.0377 - val_accuracy: 0.0894 Epoch 54/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0436 - accuracy: 0.2811 - val_loss: 0.0376 - val_accuracy: 0.0894 Epoch 55/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0429 - accuracy: 0.2987 - val_loss: 0.0373 - val_accuracy: 0.0935 Epoch 56/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0426 - accuracy: 0.2933 - val_loss: 0.0375 - val_accuracy: 0.0935 Epoch 57/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0426 - accuracy: 0.2865 - val_loss: 0.0373 - val_accuracy: 0.1016 Epoch 58/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0425 - accuracy: 0.2933 - val_loss: 0.0376 - val_accuracy: 0.0976 Epoch 59/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0424 - accuracy: 0.2973 - val_loss: 0.0372 - val_accuracy: 0.1016 Epoch 60/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0423 - accuracy: 0.3064 - val_loss: 0.0371 - val_accuracy: 0.0935 Epoch 61/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0423 - accuracy: 0.3023 - val_loss: 0.0375 - val_accuracy: 0.0894 Epoch 62/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0422 - accuracy: 0.3064 - val_loss: 0.0369 - val_accuracy: 0.1057 Epoch 63/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0425 - accuracy: 0.2924 - val_loss: 0.0377 - val_accuracy: 0.0854 Epoch 64/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0422 - accuracy: 0.3023 - val_loss: 0.0371 - val_accuracy: 0.1057 Epoch 65/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0424 - accuracy: 0.2964 - val_loss: 0.0367 - val_accuracy: 0.0935 Epoch 66/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0423 - accuracy: 0.3073 - val_loss: 0.0371 - val_accuracy: 0.0894 Epoch 67/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0421 - accuracy: 0.3109 - val_loss: 0.0368 - val_accuracy: 0.1057 Epoch 68/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0421 - accuracy: 0.3041 - val_loss: 0.0369 - val_accuracy: 0.0935 Epoch 69/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0421 - accuracy: 0.3086 - val_loss: 0.0373 - val_accuracy: 0.0854 Epoch 70/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0422 - accuracy: 0.3082 - val_loss: 0.0367 - val_accuracy: 0.1016 Epoch 71/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0421 - accuracy: 0.3037 - val_loss: 0.0372 - val_accuracy: 0.0976 Epoch 72/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0423 - accuracy: 0.3122 - val_loss: 0.0370 - val_accuracy: 0.0935 Epoch 73/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0426 - accuracy: 0.3073 - val_loss: 0.0370 - val_accuracy: 0.0772 Epoch 74/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0422 - accuracy: 0.3086 - val_loss: 0.0365 - val_accuracy: 0.0935 Epoch 75/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0423 - accuracy: 0.3005 - val_loss: 0.0365 - val_accuracy: 0.0935 Epoch 76/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0420 - accuracy: 0.3068 - val_loss: 0.0368 - val_accuracy: 0.0854 Epoch 77/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0420 - accuracy: 0.3127 - val_loss: 0.0365 - val_accuracy: 0.1057 Epoch 78/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0421 - accuracy: 0.3023 - val_loss: 0.0368 - val_accuracy: 0.0976 Epoch 79/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0419 - accuracy: 0.3086 - val_loss: 0.0365 - val_accuracy: 0.0854 Epoch 80/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0418 - accuracy: 0.3181 - val_loss: 0.0364 - val_accuracy: 0.1057 Epoch 81/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0418 - accuracy: 0.3235 - val_loss: 0.0364 - val_accuracy: 0.1057 Epoch 82/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0418 - accuracy: 0.3190 - val_loss: 0.0360 - val_accuracy: 0.0935 Epoch 83/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0416 - accuracy: 0.3131 - val_loss: 0.0364 - val_accuracy: 0.0894 Epoch 84/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0417 - accuracy: 0.3118 - val_loss: 0.0363 - val_accuracy: 0.0976 Epoch 85/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0415 - accuracy: 0.3240 - val_loss: 0.0364 - val_accuracy: 0.0854 Epoch 86/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0416 - accuracy: 0.3082 - val_loss: 0.0363 - val_accuracy: 0.0976 Epoch 87/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0416 - accuracy: 0.3231 - val_loss: 0.0360 - val_accuracy: 0.1098 Epoch 88/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0416 - accuracy: 0.3231 - val_loss: 0.0365 - val_accuracy: 0.1098 Epoch 89/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0417 - accuracy: 0.3145 - val_loss: 0.0361 - val_accuracy: 0.0935 Epoch 90/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0416 - accuracy: 0.3186 - val_loss: 0.0363 - val_accuracy: 0.0894 Epoch 91/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0417 - accuracy: 0.3127 - val_loss: 0.0362 - val_accuracy: 0.0976 Epoch 92/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0416 - accuracy: 0.3163 - val_loss: 0.0362 - val_accuracy: 0.0976 Epoch 93/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0420 - accuracy: 0.3104 - val_loss: 0.0360 - val_accuracy: 0.1098 Epoch 94/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0415 - accuracy: 0.3145 - val_loss: 0.0361 - val_accuracy: 0.1057 Epoch 95/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0414 - accuracy: 0.3127 - val_loss: 0.0362 - val_accuracy: 0.1016 Epoch 96/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0414 - accuracy: 0.3190 - val_loss: 0.0356 - val_accuracy: 0.1057 Epoch 97/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0413 - accuracy: 0.3208 - val_loss: 0.0361 - val_accuracy: 0.0935 Epoch 98/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0414 - accuracy: 0.3177 - val_loss: 0.0360 - val_accuracy: 0.0894 Epoch 99/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0411 - accuracy: 0.3154 - val_loss: 0.0360 - val_accuracy: 0.1098 Epoch 100/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0411 - accuracy: 0.3222 - val_loss: 0.0361 - val_accuracy: 0.1138 Epoch 101/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0410 - accuracy: 0.3181 - val_loss: 0.0360 - val_accuracy: 0.1016 Epoch 102/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0409 - accuracy: 0.3272 - val_loss: 0.0360 - val_accuracy: 0.1098 Epoch 103/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0410 - accuracy: 0.3226 - val_loss: 0.0357 - val_accuracy: 0.1057 Epoch 104/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0408 - accuracy: 0.3276 - val_loss: 0.0357 - val_accuracy: 0.0976 Epoch 105/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0406 - accuracy: 0.3199 - val_loss: 0.0360 - val_accuracy: 0.0894 Epoch 106/500 45/45 [==============================] - 1s 12ms/step - loss: 0.0405 - accuracy: 0.3181 - val_loss: 0.0355 - val_accuracy: 0.1057 Epoch 107/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0402 - accuracy: 0.3344 - val_loss: 0.0359 - val_accuracy: 0.0935 Epoch 108/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0403 - accuracy: 0.3330 - val_loss: 0.0358 - val_accuracy: 0.1179 Epoch 109/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0401 - accuracy: 0.3285 - val_loss: 0.0359 - val_accuracy: 0.0935 Epoch 110/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0400 - accuracy: 0.3249 - val_loss: 0.0357 - val_accuracy: 0.1057 Epoch 111/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0399 - accuracy: 0.3326 - val_loss: 0.0355 - val_accuracy: 0.1057 Epoch 112/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0398 - accuracy: 0.3276 - val_loss: 0.0354 - val_accuracy: 0.0976 Epoch 113/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0396 - accuracy: 0.3380 - val_loss: 0.0356 - val_accuracy: 0.1057 Epoch 114/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0396 - accuracy: 0.3362 - val_loss: 0.0355 - val_accuracy: 0.0976 Epoch 115/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0396 - accuracy: 0.3371 - val_loss: 0.0357 - val_accuracy: 0.1016 Epoch 116/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0395 - accuracy: 0.3335 - val_loss: 0.0352 - val_accuracy: 0.1179 Epoch 117/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0396 - accuracy: 0.3344 - val_loss: 0.0356 - val_accuracy: 0.1179 Epoch 118/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0400 - accuracy: 0.3240 - val_loss: 0.0356 - val_accuracy: 0.1098 Epoch 119/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0396 - accuracy: 0.3371 - val_loss: 0.0359 - val_accuracy: 0.0976 Epoch 120/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0396 - accuracy: 0.3335 - val_loss: 0.0355 - val_accuracy: 0.1016 Epoch 121/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0397 - accuracy: 0.3145 - val_loss: 0.0355 - val_accuracy: 0.1016 Epoch 122/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0397 - accuracy: 0.3195 - val_loss: 0.0356 - val_accuracy: 0.1220 Epoch 123/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0396 - accuracy: 0.3276 - val_loss: 0.0355 - val_accuracy: 0.1016 Epoch 124/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0395 - accuracy: 0.3344 - val_loss: 0.0353 - val_accuracy: 0.0894 Epoch 125/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0397 - accuracy: 0.3235 - val_loss: 0.0356 - val_accuracy: 0.0935 Epoch 126/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0399 - accuracy: 0.3199 - val_loss: 0.0352 - val_accuracy: 0.1098 Epoch 127/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0396 - accuracy: 0.3326 - val_loss: 0.0358 - val_accuracy: 0.0935 Epoch 128/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0394 - accuracy: 0.3244 - val_loss: 0.0353 - val_accuracy: 0.1179 Epoch 129/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0394 - accuracy: 0.3385 - val_loss: 0.0350 - val_accuracy: 0.0976 Epoch 130/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0394 - accuracy: 0.3263 - val_loss: 0.0355 - val_accuracy: 0.1016 Epoch 131/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0391 - accuracy: 0.3348 - val_loss: 0.0354 - val_accuracy: 0.0894 Epoch 132/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0392 - accuracy: 0.3394 - val_loss: 0.0351 - val_accuracy: 0.1098 Epoch 133/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0394 - accuracy: 0.3339 - val_loss: 0.0355 - val_accuracy: 0.1057 Epoch 134/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0392 - accuracy: 0.3312 - val_loss: 0.0355 - val_accuracy: 0.0894 Epoch 135/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0395 - accuracy: 0.3267 - val_loss: 0.0354 - val_accuracy: 0.0976 Epoch 136/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0392 - accuracy: 0.3339 - val_loss: 0.0356 - val_accuracy: 0.0976 Epoch 137/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0392 - accuracy: 0.3394 - val_loss: 0.0356 - val_accuracy: 0.1138 Epoch 138/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0390 - accuracy: 0.3425 - val_loss: 0.0353 - val_accuracy: 0.0976 Epoch 139/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0394 - accuracy: 0.3362 - val_loss: 0.0355 - val_accuracy: 0.1016 Epoch 140/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0390 - accuracy: 0.3317 - val_loss: 0.0353 - val_accuracy: 0.0976 Epoch 141/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0388 - accuracy: 0.3484 - val_loss: 0.0352 - val_accuracy: 0.1016 Epoch 142/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0386 - accuracy: 0.3570 - val_loss: 0.0352 - val_accuracy: 0.1057 Epoch 143/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0386 - accuracy: 0.3525 - val_loss: 0.0352 - val_accuracy: 0.1098 Epoch 144/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0386 - accuracy: 0.3525 - val_loss: 0.0351 - val_accuracy: 0.0894 Epoch 145/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0385 - accuracy: 0.3394 - val_loss: 0.0352 - val_accuracy: 0.1016 Epoch 146/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0386 - accuracy: 0.3479 - val_loss: 0.0353 - val_accuracy: 0.0976 Epoch 147/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0384 - accuracy: 0.3601 - val_loss: 0.0352 - val_accuracy: 0.0976 Epoch 148/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0384 - accuracy: 0.3570 - val_loss: 0.0353 - val_accuracy: 0.0935 Epoch 149/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0383 - accuracy: 0.3547 - val_loss: 0.0352 - val_accuracy: 0.0976 Epoch 150/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0384 - accuracy: 0.3543 - val_loss: 0.0353 - val_accuracy: 0.0854 Epoch 151/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0384 - accuracy: 0.3538 - val_loss: 0.0353 - val_accuracy: 0.0894 Epoch 152/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0383 - accuracy: 0.3647 - val_loss: 0.0351 - val_accuracy: 0.0976 Epoch 153/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0383 - accuracy: 0.3669 - val_loss: 0.0352 - val_accuracy: 0.0854 Epoch 154/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0384 - accuracy: 0.3543 - val_loss: 0.0351 - val_accuracy: 0.0976 Epoch 155/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0387 - accuracy: 0.3502 - val_loss: 0.0356 - val_accuracy: 0.0976 Epoch 156/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0386 - accuracy: 0.3525 - val_loss: 0.0353 - val_accuracy: 0.0813 Epoch 157/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0384 - accuracy: 0.3606 - val_loss: 0.0352 - val_accuracy: 0.0813 Epoch 158/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0384 - accuracy: 0.3498 - val_loss: 0.0353 - val_accuracy: 0.0935 Epoch 159/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0384 - accuracy: 0.3534 - val_loss: 0.0354 - val_accuracy: 0.1057 Epoch 160/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0385 - accuracy: 0.3493 - val_loss: 0.0352 - val_accuracy: 0.1016 Epoch 161/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0383 - accuracy: 0.3534 - val_loss: 0.0354 - val_accuracy: 0.0935 Epoch 162/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0383 - accuracy: 0.3583 - val_loss: 0.0352 - val_accuracy: 0.1016 Epoch 163/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0384 - accuracy: 0.3466 - val_loss: 0.0353 - val_accuracy: 0.0813 Epoch 164/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0383 - accuracy: 0.3502 - val_loss: 0.0353 - val_accuracy: 0.0854 Epoch 165/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0383 - accuracy: 0.3520 - val_loss: 0.0353 - val_accuracy: 0.0854 Epoch 166/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0383 - accuracy: 0.3543 - val_loss: 0.0350 - val_accuracy: 0.1016 Epoch 167/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0387 - accuracy: 0.3488 - val_loss: 0.0353 - val_accuracy: 0.0894 Epoch 168/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0385 - accuracy: 0.3434 - val_loss: 0.0351 - val_accuracy: 0.0976 Epoch 169/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0386 - accuracy: 0.3362 - val_loss: 0.0352 - val_accuracy: 0.1016 Epoch 170/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0384 - accuracy: 0.3457 - val_loss: 0.0353 - val_accuracy: 0.0976 Epoch 171/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0382 - accuracy: 0.3556 - val_loss: 0.0351 - val_accuracy: 0.0854 Epoch 172/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0381 - accuracy: 0.3452 - val_loss: 0.0351 - val_accuracy: 0.0935 Epoch 173/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0380 - accuracy: 0.3588 - val_loss: 0.0350 - val_accuracy: 0.0854 Epoch 174/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0380 - accuracy: 0.3583 - val_loss: 0.0350 - val_accuracy: 0.0813 Epoch 175/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0379 - accuracy: 0.3638 - val_loss: 0.0351 - val_accuracy: 0.0976 Epoch 176/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0379 - accuracy: 0.3696 - val_loss: 0.0350 - val_accuracy: 0.0976 Epoch 177/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0379 - accuracy: 0.3656 - val_loss: 0.0352 - val_accuracy: 0.0854 Epoch 178/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0378 - accuracy: 0.3683 - val_loss: 0.0349 - val_accuracy: 0.0813 Epoch 179/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0378 - accuracy: 0.3665 - val_loss: 0.0350 - val_accuracy: 0.1057 Epoch 180/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0378 - accuracy: 0.3656 - val_loss: 0.0352 - val_accuracy: 0.0813 Epoch 181/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0378 - accuracy: 0.3665 - val_loss: 0.0351 - val_accuracy: 0.0935 Epoch 182/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0379 - accuracy: 0.3683 - val_loss: 0.0349 - val_accuracy: 0.0854 Epoch 183/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0380 - accuracy: 0.3620 - val_loss: 0.0347 - val_accuracy: 0.0854 Epoch 184/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0382 - accuracy: 0.3475 - val_loss: 0.0350 - val_accuracy: 0.0976 Epoch 185/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0380 - accuracy: 0.3511 - val_loss: 0.0349 - val_accuracy: 0.0935 Epoch 186/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0379 - accuracy: 0.3552 - val_loss: 0.0347 - val_accuracy: 0.1016 Epoch 187/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0379 - accuracy: 0.3556 - val_loss: 0.0349 - val_accuracy: 0.0976 Epoch 188/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0378 - accuracy: 0.3620 - val_loss: 0.0349 - val_accuracy: 0.0976 Epoch 189/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0377 - accuracy: 0.3642 - val_loss: 0.0354 - val_accuracy: 0.0976 Epoch 190/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0377 - accuracy: 0.3547 - val_loss: 0.0348 - val_accuracy: 0.0935 Epoch 191/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0377 - accuracy: 0.3719 - val_loss: 0.0349 - val_accuracy: 0.0935 Epoch 192/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0377 - accuracy: 0.3701 - val_loss: 0.0351 - val_accuracy: 0.0854 Epoch 193/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0377 - accuracy: 0.3638 - val_loss: 0.0347 - val_accuracy: 0.0772 Epoch 194/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0377 - accuracy: 0.3565 - val_loss: 0.0350 - val_accuracy: 0.0894 Epoch 195/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0377 - accuracy: 0.3592 - val_loss: 0.0350 - val_accuracy: 0.0894 Epoch 196/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0376 - accuracy: 0.3601 - val_loss: 0.0347 - val_accuracy: 0.0935 Epoch 197/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0376 - accuracy: 0.3597 - val_loss: 0.0345 - val_accuracy: 0.0854 Epoch 198/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0373 - accuracy: 0.3461 - val_loss: 0.0347 - val_accuracy: 0.0935 Epoch 199/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0369 - accuracy: 0.3588 - val_loss: 0.0348 - val_accuracy: 0.0854 Epoch 200/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0365 - accuracy: 0.3638 - val_loss: 0.0347 - val_accuracy: 0.0894 Epoch 201/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0364 - accuracy: 0.3543 - val_loss: 0.0349 - val_accuracy: 0.0976 Epoch 202/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0364 - accuracy: 0.3543 - val_loss: 0.0348 - val_accuracy: 0.0976 Epoch 203/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0361 - accuracy: 0.3647 - val_loss: 0.0347 - val_accuracy: 0.1057 Epoch 204/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0360 - accuracy: 0.3629 - val_loss: 0.0345 - val_accuracy: 0.1016 Epoch 205/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0359 - accuracy: 0.3737 - val_loss: 0.0347 - val_accuracy: 0.0976 Epoch 206/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0359 - accuracy: 0.3787 - val_loss: 0.0345 - val_accuracy: 0.0772 Epoch 207/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0359 - accuracy: 0.3610 - val_loss: 0.0347 - val_accuracy: 0.0894 Epoch 208/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0359 - accuracy: 0.3651 - val_loss: 0.0347 - val_accuracy: 0.1057 Epoch 209/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0359 - accuracy: 0.3827 - val_loss: 0.0346 - val_accuracy: 0.0976 Epoch 210/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0358 - accuracy: 0.3760 - val_loss: 0.0343 - val_accuracy: 0.0976 Epoch 211/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0357 - accuracy: 0.3764 - val_loss: 0.0346 - val_accuracy: 0.1016 Epoch 212/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0357 - accuracy: 0.3737 - val_loss: 0.0346 - val_accuracy: 0.0894 Epoch 213/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0357 - accuracy: 0.3805 - val_loss: 0.0348 - val_accuracy: 0.1057 Epoch 214/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0356 - accuracy: 0.3769 - val_loss: 0.0346 - val_accuracy: 0.0976 Epoch 215/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0357 - accuracy: 0.3692 - val_loss: 0.0345 - val_accuracy: 0.1016 Epoch 216/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0357 - accuracy: 0.3769 - val_loss: 0.0346 - val_accuracy: 0.1057 Epoch 217/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0357 - accuracy: 0.3755 - val_loss: 0.0345 - val_accuracy: 0.0854 Epoch 218/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0357 - accuracy: 0.3719 - val_loss: 0.0347 - val_accuracy: 0.0976 Epoch 219/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0357 - accuracy: 0.3760 - val_loss: 0.0347 - val_accuracy: 0.0894 Epoch 220/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0356 - accuracy: 0.3845 - val_loss: 0.0343 - val_accuracy: 0.0935 Epoch 221/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0356 - accuracy: 0.3823 - val_loss: 0.0347 - val_accuracy: 0.0894 Epoch 222/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0356 - accuracy: 0.3882 - val_loss: 0.0345 - val_accuracy: 0.0935 Epoch 223/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0356 - accuracy: 0.3705 - val_loss: 0.0340 - val_accuracy: 0.0935 Epoch 224/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0360 - accuracy: 0.3565 - val_loss: 0.0345 - val_accuracy: 0.0935 Epoch 225/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0359 - accuracy: 0.3620 - val_loss: 0.0349 - val_accuracy: 0.1098 Epoch 226/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0357 - accuracy: 0.3633 - val_loss: 0.0345 - val_accuracy: 0.0935 Epoch 227/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0356 - accuracy: 0.3773 - val_loss: 0.0347 - val_accuracy: 0.0935 Epoch 228/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0355 - accuracy: 0.3832 - val_loss: 0.0343 - val_accuracy: 0.0894 Epoch 229/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0355 - accuracy: 0.3895 - val_loss: 0.0347 - val_accuracy: 0.1016 Epoch 230/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0355 - accuracy: 0.3773 - val_loss: 0.0346 - val_accuracy: 0.0976 Epoch 231/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0355 - accuracy: 0.3864 - val_loss: 0.0346 - val_accuracy: 0.0976 Epoch 232/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0355 - accuracy: 0.3904 - val_loss: 0.0346 - val_accuracy: 0.0976 Epoch 233/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0356 - accuracy: 0.3778 - val_loss: 0.0346 - val_accuracy: 0.1057 Epoch 234/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0355 - accuracy: 0.3742 - val_loss: 0.0345 - val_accuracy: 0.1138 Epoch 235/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0355 - accuracy: 0.3814 - val_loss: 0.0345 - val_accuracy: 0.1057 Epoch 236/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0355 - accuracy: 0.3732 - val_loss: 0.0346 - val_accuracy: 0.0894 Epoch 237/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0355 - accuracy: 0.3787 - val_loss: 0.0346 - val_accuracy: 0.1016 Epoch 238/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0355 - accuracy: 0.3764 - val_loss: 0.0344 - val_accuracy: 0.0854 Epoch 239/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0355 - accuracy: 0.3710 - val_loss: 0.0346 - val_accuracy: 0.0935 Epoch 240/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0357 - accuracy: 0.3687 - val_loss: 0.0343 - val_accuracy: 0.0976 Epoch 241/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0356 - accuracy: 0.3692 - val_loss: 0.0347 - val_accuracy: 0.0813 Epoch 242/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0356 - accuracy: 0.3696 - val_loss: 0.0347 - val_accuracy: 0.0976 Epoch 243/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0356 - accuracy: 0.3714 - val_loss: 0.0345 - val_accuracy: 0.0935 Epoch 244/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0355 - accuracy: 0.3732 - val_loss: 0.0347 - val_accuracy: 0.0976 Epoch 245/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0354 - accuracy: 0.3823 - val_loss: 0.0345 - val_accuracy: 0.0935 Epoch 246/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0354 - accuracy: 0.3719 - val_loss: 0.0345 - val_accuracy: 0.0976 Epoch 247/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0354 - accuracy: 0.3845 - val_loss: 0.0345 - val_accuracy: 0.0935 Epoch 248/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0353 - accuracy: 0.3782 - val_loss: 0.0346 - val_accuracy: 0.0976 Epoch 249/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0355 - accuracy: 0.3737 - val_loss: 0.0344 - val_accuracy: 0.0976 Epoch 250/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0353 - accuracy: 0.3891 - val_loss: 0.0347 - val_accuracy: 0.0976 Epoch 251/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0352 - accuracy: 0.3800 - val_loss: 0.0344 - val_accuracy: 0.1016 Epoch 252/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0352 - accuracy: 0.3778 - val_loss: 0.0342 - val_accuracy: 0.0976 Epoch 253/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0352 - accuracy: 0.3832 - val_loss: 0.0345 - val_accuracy: 0.0894 Epoch 254/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0353 - accuracy: 0.3769 - val_loss: 0.0345 - val_accuracy: 0.0976 Epoch 255/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0352 - accuracy: 0.3773 - val_loss: 0.0345 - val_accuracy: 0.0894 Epoch 256/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0353 - accuracy: 0.3764 - val_loss: 0.0345 - val_accuracy: 0.0935 Epoch 257/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0353 - accuracy: 0.3651 - val_loss: 0.0348 - val_accuracy: 0.0976 Epoch 258/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0354 - accuracy: 0.3629 - val_loss: 0.0347 - val_accuracy: 0.1016 Epoch 259/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0352 - accuracy: 0.3647 - val_loss: 0.0342 - val_accuracy: 0.1016 Epoch 260/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0351 - accuracy: 0.3787 - val_loss: 0.0344 - val_accuracy: 0.0894 Epoch 261/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0350 - accuracy: 0.3782 - val_loss: 0.0346 - val_accuracy: 0.0854 Epoch 262/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0349 - accuracy: 0.3742 - val_loss: 0.0343 - val_accuracy: 0.0976 Epoch 263/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0349 - accuracy: 0.3864 - val_loss: 0.0346 - val_accuracy: 0.1016 Epoch 264/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0348 - accuracy: 0.3949 - val_loss: 0.0344 - val_accuracy: 0.1016 Epoch 265/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0348 - accuracy: 0.3904 - val_loss: 0.0343 - val_accuracy: 0.0813 Epoch 266/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0348 - accuracy: 0.3836 - val_loss: 0.0342 - val_accuracy: 0.0935 Epoch 267/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0348 - accuracy: 0.3827 - val_loss: 0.0342 - val_accuracy: 0.1016 Epoch 268/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0348 - accuracy: 0.3864 - val_loss: 0.0341 - val_accuracy: 0.1016 Epoch 269/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0348 - accuracy: 0.3859 - val_loss: 0.0344 - val_accuracy: 0.0976 Epoch 270/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0347 - accuracy: 0.3900 - val_loss: 0.0343 - val_accuracy: 0.0894 Epoch 271/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0347 - accuracy: 0.3904 - val_loss: 0.0343 - val_accuracy: 0.0976 Epoch 272/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0347 - accuracy: 0.3877 - val_loss: 0.0341 - val_accuracy: 0.0976 Epoch 273/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0347 - accuracy: 0.3877 - val_loss: 0.0345 - val_accuracy: 0.0935 Epoch 274/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0347 - accuracy: 0.3850 - val_loss: 0.0344 - val_accuracy: 0.0854 Epoch 275/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0347 - accuracy: 0.3877 - val_loss: 0.0344 - val_accuracy: 0.0976 Epoch 276/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0346 - accuracy: 0.3900 - val_loss: 0.0345 - val_accuracy: 0.0894 Epoch 277/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0347 - accuracy: 0.3850 - val_loss: 0.0341 - val_accuracy: 0.1057 Epoch 278/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0347 - accuracy: 0.3895 - val_loss: 0.0343 - val_accuracy: 0.0935 Epoch 279/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0346 - accuracy: 0.3850 - val_loss: 0.0342 - val_accuracy: 0.0894 Epoch 280/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0346 - accuracy: 0.3963 - val_loss: 0.0340 - val_accuracy: 0.1057 Epoch 281/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0347 - accuracy: 0.3850 - val_loss: 0.0340 - val_accuracy: 0.0976 Epoch 282/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0347 - accuracy: 0.3818 - val_loss: 0.0344 - val_accuracy: 0.1057 Epoch 283/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0347 - accuracy: 0.3832 - val_loss: 0.0341 - val_accuracy: 0.0976 Epoch 284/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0347 - accuracy: 0.3809 - val_loss: 0.0341 - val_accuracy: 0.0935 Epoch 285/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0347 - accuracy: 0.3814 - val_loss: 0.0342 - val_accuracy: 0.0935 Epoch 286/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0346 - accuracy: 0.3818 - val_loss: 0.0339 - val_accuracy: 0.0935 Epoch 287/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0346 - accuracy: 0.3927 - val_loss: 0.0341 - val_accuracy: 0.1098 Epoch 288/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0346 - accuracy: 0.3927 - val_loss: 0.0341 - val_accuracy: 0.1016 Epoch 289/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0346 - accuracy: 0.3800 - val_loss: 0.0343 - val_accuracy: 0.1016 Epoch 290/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0346 - accuracy: 0.3841 - val_loss: 0.0341 - val_accuracy: 0.0935 Epoch 291/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0345 - accuracy: 0.3895 - val_loss: 0.0341 - val_accuracy: 0.0976 Epoch 292/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0345 - accuracy: 0.3913 - val_loss: 0.0342 - val_accuracy: 0.1016 Epoch 293/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0345 - accuracy: 0.3913 - val_loss: 0.0341 - val_accuracy: 0.0935 Epoch 294/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0347 - accuracy: 0.3859 - val_loss: 0.0341 - val_accuracy: 0.1016 Epoch 295/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0346 - accuracy: 0.3954 - val_loss: 0.0345 - val_accuracy: 0.1057 Epoch 296/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0346 - accuracy: 0.3981 - val_loss: 0.0344 - val_accuracy: 0.0894 Epoch 297/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0345 - accuracy: 0.3918 - val_loss: 0.0341 - val_accuracy: 0.1016 Epoch 298/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0345 - accuracy: 0.3954 - val_loss: 0.0346 - val_accuracy: 0.0976 Epoch 299/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0345 - accuracy: 0.3913 - val_loss: 0.0341 - val_accuracy: 0.1057 Epoch 300/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0345 - accuracy: 0.3800 - val_loss: 0.0344 - val_accuracy: 0.1016 Epoch 301/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0344 - accuracy: 0.4013 - val_loss: 0.0344 - val_accuracy: 0.1057 Epoch 302/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0344 - accuracy: 0.4053 - val_loss: 0.0342 - val_accuracy: 0.0935 Epoch 303/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0344 - accuracy: 0.3999 - val_loss: 0.0344 - val_accuracy: 0.1057 Epoch 304/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0344 - accuracy: 0.3949 - val_loss: 0.0343 - val_accuracy: 0.0976 Epoch 305/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0344 - accuracy: 0.3949 - val_loss: 0.0339 - val_accuracy: 0.1016 Epoch 306/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0343 - accuracy: 0.3972 - val_loss: 0.0341 - val_accuracy: 0.1016 Epoch 307/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0344 - accuracy: 0.3891 - val_loss: 0.0342 - val_accuracy: 0.1138 Epoch 308/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0344 - accuracy: 0.3859 - val_loss: 0.0341 - val_accuracy: 0.0976 Epoch 309/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0344 - accuracy: 0.3823 - val_loss: 0.0344 - val_accuracy: 0.1098 Epoch 310/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0346 - accuracy: 0.3895 - val_loss: 0.0340 - val_accuracy: 0.0813 Epoch 311/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0344 - accuracy: 0.3836 - val_loss: 0.0345 - val_accuracy: 0.0894 Epoch 312/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0343 - accuracy: 0.3972 - val_loss: 0.0342 - val_accuracy: 0.1016 Epoch 313/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0345 - accuracy: 0.3927 - val_loss: 0.0342 - val_accuracy: 0.1016 Epoch 314/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0343 - accuracy: 0.3900 - val_loss: 0.0343 - val_accuracy: 0.0935 Epoch 315/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0342 - accuracy: 0.4040 - val_loss: 0.0343 - val_accuracy: 0.0976 Epoch 316/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0342 - accuracy: 0.4035 - val_loss: 0.0344 - val_accuracy: 0.0935 Epoch 317/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0342 - accuracy: 0.4058 - val_loss: 0.0342 - val_accuracy: 0.1016 Epoch 318/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0344 - accuracy: 0.3913 - val_loss: 0.0341 - val_accuracy: 0.0976 Epoch 319/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0343 - accuracy: 0.4053 - val_loss: 0.0341 - val_accuracy: 0.0976 Epoch 320/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0342 - accuracy: 0.4017 - val_loss: 0.0342 - val_accuracy: 0.0976 Epoch 321/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0341 - accuracy: 0.3995 - val_loss: 0.0341 - val_accuracy: 0.1098 Epoch 322/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0341 - accuracy: 0.3990 - val_loss: 0.0343 - val_accuracy: 0.1057 Epoch 323/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0341 - accuracy: 0.4053 - val_loss: 0.0342 - val_accuracy: 0.0935 Epoch 324/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0341 - accuracy: 0.4026 - val_loss: 0.0342 - val_accuracy: 0.1016 Epoch 325/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0341 - accuracy: 0.4004 - val_loss: 0.0340 - val_accuracy: 0.0976 Epoch 326/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0342 - accuracy: 0.3972 - val_loss: 0.0341 - val_accuracy: 0.0976 Epoch 327/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0341 - accuracy: 0.4026 - val_loss: 0.0342 - val_accuracy: 0.1016 Epoch 328/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0341 - accuracy: 0.3977 - val_loss: 0.0343 - val_accuracy: 0.0976 Epoch 329/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0341 - accuracy: 0.4040 - val_loss: 0.0341 - val_accuracy: 0.1057 Epoch 330/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0341 - accuracy: 0.3972 - val_loss: 0.0340 - val_accuracy: 0.0935 Epoch 331/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0340 - accuracy: 0.4099 - val_loss: 0.0342 - val_accuracy: 0.0854 Epoch 332/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0340 - accuracy: 0.4144 - val_loss: 0.0342 - val_accuracy: 0.0935 Epoch 333/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0341 - accuracy: 0.3972 - val_loss: 0.0343 - val_accuracy: 0.0976 Epoch 334/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0341 - accuracy: 0.3895 - val_loss: 0.0343 - val_accuracy: 0.0976 Epoch 335/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0341 - accuracy: 0.3936 - val_loss: 0.0341 - val_accuracy: 0.0976 Epoch 336/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0341 - accuracy: 0.3999 - val_loss: 0.0340 - val_accuracy: 0.0935 Epoch 337/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0341 - accuracy: 0.3868 - val_loss: 0.0340 - val_accuracy: 0.0935 Epoch 338/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0340 - accuracy: 0.3891 - val_loss: 0.0343 - val_accuracy: 0.0976 Epoch 339/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0340 - accuracy: 0.3949 - val_loss: 0.0341 - val_accuracy: 0.1016 Epoch 340/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0339 - accuracy: 0.3886 - val_loss: 0.0341 - val_accuracy: 0.0976 Epoch 341/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0339 - accuracy: 0.3922 - val_loss: 0.0339 - val_accuracy: 0.1016 Epoch 342/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0339 - accuracy: 0.3809 - val_loss: 0.0339 - val_accuracy: 0.0976 Epoch 343/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0339 - accuracy: 0.3904 - val_loss: 0.0337 - val_accuracy: 0.0976 Epoch 344/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0339 - accuracy: 0.4026 - val_loss: 0.0340 - val_accuracy: 0.0976 Epoch 345/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0338 - accuracy: 0.3986 - val_loss: 0.0342 - val_accuracy: 0.1057 Epoch 346/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0338 - accuracy: 0.3940 - val_loss: 0.0341 - val_accuracy: 0.0894 Epoch 347/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0337 - accuracy: 0.4013 - val_loss: 0.0341 - val_accuracy: 0.1138 Epoch 348/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0337 - accuracy: 0.4153 - val_loss: 0.0342 - val_accuracy: 0.1016 Epoch 349/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0337 - accuracy: 0.4139 - val_loss: 0.0341 - val_accuracy: 0.1016 Epoch 350/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0337 - accuracy: 0.4103 - val_loss: 0.0342 - val_accuracy: 0.0935 Epoch 351/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0337 - accuracy: 0.4049 - val_loss: 0.0341 - val_accuracy: 0.0894 Epoch 352/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0336 - accuracy: 0.3967 - val_loss: 0.0340 - val_accuracy: 0.0894 Epoch 353/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0338 - accuracy: 0.3850 - val_loss: 0.0343 - val_accuracy: 0.0894 Epoch 354/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0338 - accuracy: 0.3886 - val_loss: 0.0339 - val_accuracy: 0.0854 Epoch 355/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0337 - accuracy: 0.3936 - val_loss: 0.0334 - val_accuracy: 0.1016 Epoch 356/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0339 - accuracy: 0.3805 - val_loss: 0.0342 - val_accuracy: 0.0894 Epoch 357/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0338 - accuracy: 0.3891 - val_loss: 0.0346 - val_accuracy: 0.0854 Epoch 358/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0338 - accuracy: 0.3814 - val_loss: 0.0341 - val_accuracy: 0.0894 Epoch 359/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0337 - accuracy: 0.3967 - val_loss: 0.0345 - val_accuracy: 0.0894 Epoch 360/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0336 - accuracy: 0.3949 - val_loss: 0.0343 - val_accuracy: 0.0813 Epoch 361/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0336 - accuracy: 0.3895 - val_loss: 0.0341 - val_accuracy: 0.1016 Epoch 362/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0336 - accuracy: 0.3981 - val_loss: 0.0341 - val_accuracy: 0.0976 Epoch 363/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0334 - accuracy: 0.3972 - val_loss: 0.0340 - val_accuracy: 0.1016 Epoch 364/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0334 - accuracy: 0.4008 - val_loss: 0.0341 - val_accuracy: 0.0976 Epoch 365/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0333 - accuracy: 0.4026 - val_loss: 0.0339 - val_accuracy: 0.0935 Epoch 366/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0333 - accuracy: 0.4067 - val_loss: 0.0341 - val_accuracy: 0.0854 Epoch 367/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0332 - accuracy: 0.4099 - val_loss: 0.0339 - val_accuracy: 0.0894 Epoch 368/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0332 - accuracy: 0.4148 - val_loss: 0.0341 - val_accuracy: 0.0894 Epoch 369/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0332 - accuracy: 0.4112 - val_loss: 0.0341 - val_accuracy: 0.0976 Epoch 370/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0332 - accuracy: 0.4103 - val_loss: 0.0342 - val_accuracy: 0.1098 Epoch 371/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0332 - accuracy: 0.4108 - val_loss: 0.0341 - val_accuracy: 0.0935 Epoch 372/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0333 - accuracy: 0.4099 - val_loss: 0.0340 - val_accuracy: 0.0976 Epoch 373/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0333 - accuracy: 0.4040 - val_loss: 0.0341 - val_accuracy: 0.0894 Epoch 374/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0332 - accuracy: 0.4076 - val_loss: 0.0341 - val_accuracy: 0.0813 Epoch 375/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0333 - accuracy: 0.4017 - val_loss: 0.0342 - val_accuracy: 0.0935 Epoch 376/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0333 - accuracy: 0.4035 - val_loss: 0.0339 - val_accuracy: 0.1057 Epoch 377/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0333 - accuracy: 0.4035 - val_loss: 0.0340 - val_accuracy: 0.0935 Epoch 378/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0334 - accuracy: 0.4031 - val_loss: 0.0339 - val_accuracy: 0.1016 Epoch 379/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0333 - accuracy: 0.3913 - val_loss: 0.0340 - val_accuracy: 0.1016 Epoch 380/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0333 - accuracy: 0.3972 - val_loss: 0.0338 - val_accuracy: 0.1057 Epoch 381/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0332 - accuracy: 0.3882 - val_loss: 0.0340 - val_accuracy: 0.0935 Epoch 382/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0331 - accuracy: 0.4004 - val_loss: 0.0338 - val_accuracy: 0.0976 Epoch 383/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0331 - accuracy: 0.3967 - val_loss: 0.0337 - val_accuracy: 0.1016 Epoch 384/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0330 - accuracy: 0.3945 - val_loss: 0.0340 - val_accuracy: 0.0894 Epoch 385/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0329 - accuracy: 0.3995 - val_loss: 0.0337 - val_accuracy: 0.0976 Epoch 386/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0330 - accuracy: 0.4117 - val_loss: 0.0342 - val_accuracy: 0.0976 Epoch 387/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0329 - accuracy: 0.4062 - val_loss: 0.0341 - val_accuracy: 0.0935 Epoch 388/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0329 - accuracy: 0.4085 - val_loss: 0.0340 - val_accuracy: 0.0976 Epoch 389/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0328 - accuracy: 0.4171 - val_loss: 0.0339 - val_accuracy: 0.0935 Epoch 390/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0328 - accuracy: 0.4130 - val_loss: 0.0340 - val_accuracy: 0.0976 Epoch 391/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0329 - accuracy: 0.4144 - val_loss: 0.0340 - val_accuracy: 0.0935 Epoch 392/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0329 - accuracy: 0.4013 - val_loss: 0.0340 - val_accuracy: 0.1057 Epoch 393/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0330 - accuracy: 0.3904 - val_loss: 0.0338 - val_accuracy: 0.0935 Epoch 394/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0329 - accuracy: 0.3995 - val_loss: 0.0338 - val_accuracy: 0.1016 Epoch 395/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0329 - accuracy: 0.4022 - val_loss: 0.0340 - val_accuracy: 0.0976 Epoch 396/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0328 - accuracy: 0.4094 - val_loss: 0.0338 - val_accuracy: 0.0894 Epoch 397/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0329 - accuracy: 0.4040 - val_loss: 0.0339 - val_accuracy: 0.0854 Epoch 398/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0328 - accuracy: 0.4004 - val_loss: 0.0339 - val_accuracy: 0.0854 Epoch 399/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0328 - accuracy: 0.4062 - val_loss: 0.0341 - val_accuracy: 0.1016 Epoch 400/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0328 - accuracy: 0.4040 - val_loss: 0.0338 - val_accuracy: 0.0935 Epoch 401/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0327 - accuracy: 0.4085 - val_loss: 0.0339 - val_accuracy: 0.0976 Epoch 402/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0327 - accuracy: 0.4040 - val_loss: 0.0341 - val_accuracy: 0.0976 Epoch 403/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0326 - accuracy: 0.4189 - val_loss: 0.0339 - val_accuracy: 0.0976 Epoch 404/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0326 - accuracy: 0.4207 - val_loss: 0.0341 - val_accuracy: 0.1016 Epoch 405/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0326 - accuracy: 0.4117 - val_loss: 0.0340 - val_accuracy: 0.0894 Epoch 406/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0327 - accuracy: 0.4180 - val_loss: 0.0338 - val_accuracy: 0.0976 Epoch 407/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0328 - accuracy: 0.3949 - val_loss: 0.0336 - val_accuracy: 0.1057 Epoch 408/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0329 - accuracy: 0.4004 - val_loss: 0.0339 - val_accuracy: 0.0976 Epoch 409/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0328 - accuracy: 0.3922 - val_loss: 0.0339 - val_accuracy: 0.1138 Epoch 410/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0327 - accuracy: 0.3995 - val_loss: 0.0341 - val_accuracy: 0.0732 Epoch 411/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0326 - accuracy: 0.4044 - val_loss: 0.0341 - val_accuracy: 0.1057 Epoch 412/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0326 - accuracy: 0.4112 - val_loss: 0.0339 - val_accuracy: 0.1016 Epoch 413/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0326 - accuracy: 0.4135 - val_loss: 0.0341 - val_accuracy: 0.1016 Epoch 414/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0326 - accuracy: 0.4022 - val_loss: 0.0341 - val_accuracy: 0.0976 Epoch 415/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0326 - accuracy: 0.4094 - val_loss: 0.0338 - val_accuracy: 0.1057 Epoch 416/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0327 - accuracy: 0.4035 - val_loss: 0.0338 - val_accuracy: 0.0935 Epoch 417/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0327 - accuracy: 0.4067 - val_loss: 0.0340 - val_accuracy: 0.1057 Epoch 418/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0326 - accuracy: 0.4089 - val_loss: 0.0340 - val_accuracy: 0.0976 Epoch 419/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0326 - accuracy: 0.4085 - val_loss: 0.0340 - val_accuracy: 0.1057 Epoch 420/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0326 - accuracy: 0.4239 - val_loss: 0.0340 - val_accuracy: 0.0976 Epoch 421/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0326 - accuracy: 0.4148 - val_loss: 0.0340 - val_accuracy: 0.1016 Epoch 422/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0326 - accuracy: 0.4080 - val_loss: 0.0340 - val_accuracy: 0.0976 Epoch 423/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0325 - accuracy: 0.4225 - val_loss: 0.0340 - val_accuracy: 0.0935 Epoch 424/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0325 - accuracy: 0.4121 - val_loss: 0.0338 - val_accuracy: 0.0976 Epoch 425/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0328 - accuracy: 0.3913 - val_loss: 0.0340 - val_accuracy: 0.0976 Epoch 426/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0326 - accuracy: 0.4022 - val_loss: 0.0340 - val_accuracy: 0.0854 Epoch 427/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0325 - accuracy: 0.4008 - val_loss: 0.0340 - val_accuracy: 0.0935 Epoch 428/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0326 - accuracy: 0.4044 - val_loss: 0.0339 - val_accuracy: 0.1057 Epoch 429/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0325 - accuracy: 0.4053 - val_loss: 0.0339 - val_accuracy: 0.0935 Epoch 430/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0325 - accuracy: 0.3972 - val_loss: 0.0340 - val_accuracy: 0.0854 Epoch 431/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0324 - accuracy: 0.3999 - val_loss: 0.0340 - val_accuracy: 0.0935 Epoch 432/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0323 - accuracy: 0.4153 - val_loss: 0.0338 - val_accuracy: 0.0976 Epoch 433/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0324 - accuracy: 0.4053 - val_loss: 0.0339 - val_accuracy: 0.0854 Epoch 434/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0324 - accuracy: 0.4112 - val_loss: 0.0340 - val_accuracy: 0.0976 Epoch 435/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0324 - accuracy: 0.4108 - val_loss: 0.0340 - val_accuracy: 0.0976 Epoch 436/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0324 - accuracy: 0.4211 - val_loss: 0.0340 - val_accuracy: 0.0935 Epoch 437/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0323 - accuracy: 0.4117 - val_loss: 0.0340 - val_accuracy: 0.0894 Epoch 438/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0323 - accuracy: 0.4279 - val_loss: 0.0339 - val_accuracy: 0.0894 Epoch 439/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0323 - accuracy: 0.4216 - val_loss: 0.0341 - val_accuracy: 0.0894 Epoch 440/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0323 - accuracy: 0.4180 - val_loss: 0.0338 - val_accuracy: 0.0894 Epoch 441/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0323 - accuracy: 0.4148 - val_loss: 0.0339 - val_accuracy: 0.0894 Epoch 442/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0323 - accuracy: 0.4153 - val_loss: 0.0338 - val_accuracy: 0.0935 Epoch 443/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0323 - accuracy: 0.4157 - val_loss: 0.0338 - val_accuracy: 0.0854 Epoch 444/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0324 - accuracy: 0.4094 - val_loss: 0.0338 - val_accuracy: 0.0935 Epoch 445/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0323 - accuracy: 0.4044 - val_loss: 0.0340 - val_accuracy: 0.1016 Epoch 446/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0323 - accuracy: 0.4193 - val_loss: 0.0339 - val_accuracy: 0.0894 Epoch 447/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0323 - accuracy: 0.4121 - val_loss: 0.0343 - val_accuracy: 0.0976 Epoch 448/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0323 - accuracy: 0.4171 - val_loss: 0.0340 - val_accuracy: 0.0894 Epoch 449/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0322 - accuracy: 0.4108 - val_loss: 0.0339 - val_accuracy: 0.1016 Epoch 450/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0322 - accuracy: 0.4144 - val_loss: 0.0339 - val_accuracy: 0.0976 Epoch 451/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0322 - accuracy: 0.4103 - val_loss: 0.0341 - val_accuracy: 0.1016 Epoch 452/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0322 - accuracy: 0.4207 - val_loss: 0.0341 - val_accuracy: 0.1016 Epoch 453/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0322 - accuracy: 0.4175 - val_loss: 0.0340 - val_accuracy: 0.0976 Epoch 454/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0322 - accuracy: 0.4279 - val_loss: 0.0339 - val_accuracy: 0.0935 Epoch 455/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0322 - accuracy: 0.4216 - val_loss: 0.0339 - val_accuracy: 0.1016 Epoch 456/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0323 - accuracy: 0.4189 - val_loss: 0.0339 - val_accuracy: 0.0935 Epoch 457/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0323 - accuracy: 0.4099 - val_loss: 0.0339 - val_accuracy: 0.0976 Epoch 458/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0323 - accuracy: 0.4099 - val_loss: 0.0343 - val_accuracy: 0.1016 Epoch 459/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0323 - accuracy: 0.4108 - val_loss: 0.0338 - val_accuracy: 0.1098 Epoch 460/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0323 - accuracy: 0.4076 - val_loss: 0.0339 - val_accuracy: 0.1016 Epoch 461/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0323 - accuracy: 0.4004 - val_loss: 0.0338 - val_accuracy: 0.0976 Epoch 462/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0323 - accuracy: 0.3927 - val_loss: 0.0340 - val_accuracy: 0.1016 Epoch 463/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0324 - accuracy: 0.3886 - val_loss: 0.0335 - val_accuracy: 0.0935 Epoch 464/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0324 - accuracy: 0.3958 - val_loss: 0.0340 - val_accuracy: 0.0935 Epoch 465/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0323 - accuracy: 0.4099 - val_loss: 0.0340 - val_accuracy: 0.0976 Epoch 466/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0323 - accuracy: 0.3972 - val_loss: 0.0338 - val_accuracy: 0.0935 Epoch 467/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0322 - accuracy: 0.4099 - val_loss: 0.0340 - val_accuracy: 0.0976 Epoch 468/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0321 - accuracy: 0.4189 - val_loss: 0.0339 - val_accuracy: 0.0935 Epoch 469/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0322 - accuracy: 0.4117 - val_loss: 0.0339 - val_accuracy: 0.1057 Epoch 470/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0321 - accuracy: 0.4013 - val_loss: 0.0340 - val_accuracy: 0.0894 Epoch 471/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0321 - accuracy: 0.4175 - val_loss: 0.0339 - val_accuracy: 0.1098 Epoch 472/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0322 - accuracy: 0.4117 - val_loss: 0.0339 - val_accuracy: 0.0935 Epoch 473/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0324 - accuracy: 0.4004 - val_loss: 0.0338 - val_accuracy: 0.1057 Epoch 474/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0322 - accuracy: 0.4040 - val_loss: 0.0341 - val_accuracy: 0.0894 Epoch 475/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0321 - accuracy: 0.4153 - val_loss: 0.0337 - val_accuracy: 0.1057 Epoch 476/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0321 - accuracy: 0.4144 - val_loss: 0.0336 - val_accuracy: 0.1098 Epoch 477/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0321 - accuracy: 0.4094 - val_loss: 0.0338 - val_accuracy: 0.1016 Epoch 478/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0320 - accuracy: 0.4189 - val_loss: 0.0343 - val_accuracy: 0.0935 Epoch 479/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0320 - accuracy: 0.4239 - val_loss: 0.0339 - val_accuracy: 0.1016 Epoch 480/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0320 - accuracy: 0.4230 - val_loss: 0.0338 - val_accuracy: 0.1057 Epoch 481/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0320 - accuracy: 0.4257 - val_loss: 0.0339 - val_accuracy: 0.0976 Epoch 482/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0320 - accuracy: 0.4103 - val_loss: 0.0340 - val_accuracy: 0.0976 Epoch 483/500 45/45 [==============================] - 1s 14ms/step - loss: 0.0320 - accuracy: 0.4252 - val_loss: 0.0339 - val_accuracy: 0.0935 Epoch 484/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0321 - accuracy: 0.4166 - val_loss: 0.0338 - val_accuracy: 0.0935 Epoch 485/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0320 - accuracy: 0.4157 - val_loss: 0.0338 - val_accuracy: 0.0976 Epoch 486/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0320 - accuracy: 0.4184 - val_loss: 0.0338 - val_accuracy: 0.0935 Epoch 487/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0320 - accuracy: 0.4257 - val_loss: 0.0338 - val_accuracy: 0.1057 Epoch 488/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0320 - accuracy: 0.4257 - val_loss: 0.0338 - val_accuracy: 0.1057 Epoch 489/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0320 - accuracy: 0.4121 - val_loss: 0.0338 - val_accuracy: 0.0854 Epoch 490/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0321 - accuracy: 0.4076 - val_loss: 0.0340 - val_accuracy: 0.0935 Epoch 491/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0321 - accuracy: 0.4103 - val_loss: 0.0340 - val_accuracy: 0.1016 Epoch 492/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0320 - accuracy: 0.4013 - val_loss: 0.0340 - val_accuracy: 0.0976 Epoch 493/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0320 - accuracy: 0.4180 - val_loss: 0.0339 - val_accuracy: 0.0976 Epoch 494/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0319 - accuracy: 0.4234 - val_loss: 0.0338 - val_accuracy: 0.1098 Epoch 495/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0319 - accuracy: 0.4144 - val_loss: 0.0338 - val_accuracy: 0.0894 Epoch 496/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0319 - accuracy: 0.4315 - val_loss: 0.0340 - val_accuracy: 0.0976 Epoch 497/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0319 - accuracy: 0.4347 - val_loss: 0.0338 - val_accuracy: 0.0976 Epoch 498/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0318 - accuracy: 0.4347 - val_loss: 0.0337 - val_accuracy: 0.0935 Epoch 499/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0318 - accuracy: 0.4365 - val_loss: 0.0340 - val_accuracy: 0.0935 Epoch 500/500 45/45 [==============================] - 1s 13ms/step - loss: 0.0319 - accuracy: 0.4275 - val_loss: 0.0339 - val_accuracy: 0.1057
Out[89]:
<tensorflow.python.keras.callbacks.History at 0x7f858e1d3f98>
In [90]:
#Call function and return new array for test datasets
test1_abs_final = image_shape(test1_abs)
test1_abs_final = test1_abs_final.reshape(142,20,513,1)
test2_abs_final = image_shape(test2_abs)
test2_abs_final = test2_abs_final.reshape(380,20,513,1)
print(test1_abs_final.shape)
print(test2_abs_final.shape)
(142, 20, 513, 1) (380, 20, 513, 1)
In [91]:
#Use trained models to perform predictions
test1_predict = model.predict(test1_abs_final)
test2_predict = model.predict(test2_abs_final)
In [92]:
s1 = np.multiply((test1/test1_abs).T, np.abs(test1_predict).T)
s2 = np.multiply((test2/test2_abs).T, np.abs(test2_predict).T)
In [93]:
scipy.signal.istft(s1)
sh_test1 = scipy.signal.istft(s1)
scipy.signal.istft(s2)
sh_test2 = scipy.signal.istft(s2)
In [94]:
#Convert to Numpy Arrays
sh_test1 = np.array(sh_test1)
sh_test2 = np.array(sh_test2)
In [95]:
librosa.output.write_wav('test_s_01_2d_recons.wav', sh_test1, sr)
librosa.output.write_wav('test_s_02_2d_recons.wav', sh_test2, sr)
In [96]:
from IPython.display import Audio
Audio('test_s_01_2d_recons.wav')
Out[96]:
In [97]:
from IPython.display import Audio
Audio('test_s_02_2d_recons.wav')
Output hidden; open in https://colab.research.google.com to view.
In [98]:
SNR(test1_abs,test1_predict)
Out[98]:
0.9868786484003067
Problem 3¶
Imports¶
In [ ]:
import tensorflow as tf
from tensorflow.keras import datasets, layers, models
import matplotlib.pyplot as plt
from sklearn.model_selection import train_test_split
from tensorflow import keras
import numpy as np
In [ ]:
#Load cifar10 data
(X_train, y_train), (X_test, y_test) = datasets.cifar10.load_data()
# Normalize pixel values to be between 0 (black pixel) and 1 (white pixel)
X_train, X_test = X_train / 255.0, X_test / 255.0
In [ ]:
#Scale values around 0 from -1 to 1
X_train_scaled = (X_train-0.5)/0.5
X_test_scaled = (X_test-0.5)/0.5
#Copy labels for scaled values
y_train_scaled = y_train
In [ ]:
#Set aside validation data of 5000 images or 10%
X_train, X_val, y_train, y_val = train_test_split(X_train, y_train, test_size=0.10, random_state=25)
X_train_scaled, X_val_scaled, y_train_scaled, y_val_scaled = train_test_split(X_train_scaled, y_train_scaled, test_size=0.10, random_state=25)
In [ ]:
#Use Keras utility to transform labels into onehot encoding (binary categories)
y_train_cat = keras.utils.to_categorical(y_train, 10)
y_test_cat = keras.utils.to_categorical(y_test, 10)
y_train_scaled_cat = keras.utils.to_categorical(y_train_scaled, 10)
y_val_scaled_cat = keras.utils.to_categorical(y_val_scaled, 10)
In [ ]:
#Create 2D CNN with 2 hidden layers
shape = (32,32,3) # Define shape of input for Keras model
init = tf.keras.initializers.HeNormal(seed=None)
model = keras.Sequential(
[
tf.keras.layers.Input(shape=shape),
tf.keras.layers.Conv2D(filters=10, kernel_size=(5,5), strides=1, activation='relu'),
tf.keras.layers.MaxPooling2D(pool_size=(2,2), strides=2),
tf.keras.layers.Conv2D(filters=10, kernel_size=(5,5), strides=1, activation='relu'),
tf.keras.layers.MaxPooling2D(pool_size=(2,2), strides=2),
tf.keras.layers.Flatten(),
#tf.keras.layers.Dense(513,activation='relu'),
tf.keras.layers.Dense(20,activation='relu',kernel_initializer=init),
tf.keras.layers.Dense(10, activation='softmax',kernel_initializer=init)
]
)
model.summary()
Model: "sequential_2" _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= conv2d (Conv2D) (None, 28, 28, 10) 760 _________________________________________________________________ max_pooling2d (MaxPooling2D) (None, 14, 14, 10) 0 _________________________________________________________________ conv2d_1 (Conv2D) (None, 10, 10, 10) 2510 _________________________________________________________________ max_pooling2d_1 (MaxPooling2 (None, 5, 5, 10) 0 _________________________________________________________________ flatten_2 (Flatten) (None, 250) 0 _________________________________________________________________ dense_2 (Dense) (None, 20) 5020 _________________________________________________________________ dense_3 (Dense) (None, 10) 210 ================================================================= Total params: 8,500 Trainable params: 8,500 Non-trainable params: 0 _________________________________________________________________
In [ ]:
#Compile and fit the model
model.compile(loss="categorical_crossentropy", optimizer="adam", metrics=["accuracy"])
#model.compile(loss="MeanSquaredError", optimizer="adam", metrics=["accuracy"])
#model.fit(S_abs[:,:,np.newaxis], X_abs[:,np.newaxis,:], batch_size=50, epochs=50, validation_split=0.1)
#model.fit(X_train, y_train, batch_size=50, epochs=200, validation_split=0.1)
#history = model.fit(X_train_scaled, y_train_scaled, batch_size=50, epochs=2, validation_data=(X_val_scaled,y_val_scaled))
history = model.fit(X_train_scaled, y_train_scaled_cat, batch_size=512, epochs=200, validation_data=(X_val_scaled,y_val_scaled_cat))
Epoch 1/200 88/88 [==============================] - 1s 8ms/step - loss: 2.0584 - accuracy: 0.2385 - val_loss: 1.8058 - val_accuracy: 0.3404 Epoch 2/200 88/88 [==============================] - 1s 6ms/step - loss: 1.6788 - accuracy: 0.3841 - val_loss: 1.6074 - val_accuracy: 0.4226 Epoch 3/200 88/88 [==============================] - 1s 6ms/step - loss: 1.5582 - accuracy: 0.4346 - val_loss: 1.5166 - val_accuracy: 0.4580 Epoch 4/200 88/88 [==============================] - 1s 6ms/step - loss: 1.4799 - accuracy: 0.4659 - val_loss: 1.4558 - val_accuracy: 0.4814 Epoch 5/200 88/88 [==============================] - 1s 6ms/step - loss: 1.4200 - accuracy: 0.4912 - val_loss: 1.4068 - val_accuracy: 0.4972 Epoch 6/200 88/88 [==============================] - 1s 6ms/step - loss: 1.3762 - accuracy: 0.5067 - val_loss: 1.3801 - val_accuracy: 0.5136 Epoch 7/200 88/88 [==============================] - 1s 6ms/step - loss: 1.3410 - accuracy: 0.5226 - val_loss: 1.3494 - val_accuracy: 0.5228 Epoch 8/200 88/88 [==============================] - 1s 6ms/step - loss: 1.3114 - accuracy: 0.5344 - val_loss: 1.3224 - val_accuracy: 0.5310 Epoch 9/200 88/88 [==============================] - 1s 6ms/step - loss: 1.2915 - accuracy: 0.5415 - val_loss: 1.3136 - val_accuracy: 0.5358 Epoch 10/200 88/88 [==============================] - 1s 6ms/step - loss: 1.2729 - accuracy: 0.5480 - val_loss: 1.2782 - val_accuracy: 0.5458 Epoch 11/200 88/88 [==============================] - 1s 6ms/step - loss: 1.2545 - accuracy: 0.5574 - val_loss: 1.2674 - val_accuracy: 0.5562 Epoch 12/200 88/88 [==============================] - 1s 6ms/step - loss: 1.2411 - accuracy: 0.5628 - val_loss: 1.2660 - val_accuracy: 0.5530 Epoch 13/200 88/88 [==============================] - 1s 6ms/step - loss: 1.2295 - accuracy: 0.5666 - val_loss: 1.2569 - val_accuracy: 0.5558 Epoch 14/200 88/88 [==============================] - 1s 6ms/step - loss: 1.2138 - accuracy: 0.5711 - val_loss: 1.2442 - val_accuracy: 0.5578 Epoch 15/200 88/88 [==============================] - 1s 6ms/step - loss: 1.2008 - accuracy: 0.5786 - val_loss: 1.2267 - val_accuracy: 0.5650 Epoch 16/200 88/88 [==============================] - 1s 6ms/step - loss: 1.1905 - accuracy: 0.5810 - val_loss: 1.2258 - val_accuracy: 0.5594 Epoch 17/200 88/88 [==============================] - 1s 6ms/step - loss: 1.1838 - accuracy: 0.5859 - val_loss: 1.2209 - val_accuracy: 0.5618 Epoch 18/200 88/88 [==============================] - 1s 6ms/step - loss: 1.1692 - accuracy: 0.5897 - val_loss: 1.2038 - val_accuracy: 0.5772 Epoch 19/200 88/88 [==============================] - 1s 6ms/step - loss: 1.1607 - accuracy: 0.5922 - val_loss: 1.1877 - val_accuracy: 0.5812 Epoch 20/200 88/88 [==============================] - 1s 6ms/step - loss: 1.1555 - accuracy: 0.5955 - val_loss: 1.1958 - val_accuracy: 0.5792 Epoch 21/200 88/88 [==============================] - 1s 6ms/step - loss: 1.1485 - accuracy: 0.5973 - val_loss: 1.1862 - val_accuracy: 0.5842 Epoch 22/200 88/88 [==============================] - 1s 6ms/step - loss: 1.1367 - accuracy: 0.6046 - val_loss: 1.1713 - val_accuracy: 0.5916 Epoch 23/200 88/88 [==============================] - 1s 6ms/step - loss: 1.1369 - accuracy: 0.6021 - val_loss: 1.1740 - val_accuracy: 0.5892 Epoch 24/200 88/88 [==============================] - 1s 6ms/step - loss: 1.1248 - accuracy: 0.6056 - val_loss: 1.1637 - val_accuracy: 0.5898 Epoch 25/200 88/88 [==============================] - 1s 6ms/step - loss: 1.1196 - accuracy: 0.6090 - val_loss: 1.1579 - val_accuracy: 0.5900 Epoch 26/200 88/88 [==============================] - 1s 6ms/step - loss: 1.1151 - accuracy: 0.6110 - val_loss: 1.1625 - val_accuracy: 0.5932 Epoch 27/200 88/88 [==============================] - 1s 6ms/step - loss: 1.1073 - accuracy: 0.6144 - val_loss: 1.1577 - val_accuracy: 0.5930 Epoch 28/200 88/88 [==============================] - 1s 6ms/step - loss: 1.1027 - accuracy: 0.6156 - val_loss: 1.1525 - val_accuracy: 0.5942 Epoch 29/200 88/88 [==============================] - 1s 6ms/step - loss: 1.0948 - accuracy: 0.6200 - val_loss: 1.1450 - val_accuracy: 0.6026 Epoch 30/200 88/88 [==============================] - 1s 6ms/step - loss: 1.0923 - accuracy: 0.6203 - val_loss: 1.1371 - val_accuracy: 0.6066 Epoch 31/200 88/88 [==============================] - 1s 6ms/step - loss: 1.0860 - accuracy: 0.6217 - val_loss: 1.1341 - val_accuracy: 0.6086 Epoch 32/200 88/88 [==============================] - 1s 6ms/step - loss: 1.0804 - accuracy: 0.6220 - val_loss: 1.1312 - val_accuracy: 0.6074 Epoch 33/200 88/88 [==============================] - 1s 6ms/step - loss: 1.0704 - accuracy: 0.6265 - val_loss: 1.1318 - val_accuracy: 0.6066 Epoch 34/200 88/88 [==============================] - 1s 6ms/step - loss: 1.0726 - accuracy: 0.6267 - val_loss: 1.1252 - val_accuracy: 0.6052 Epoch 35/200 88/88 [==============================] - 1s 6ms/step - loss: 1.0666 - accuracy: 0.6293 - val_loss: 1.1272 - val_accuracy: 0.6072 Epoch 36/200 88/88 [==============================] - 1s 6ms/step - loss: 1.0634 - accuracy: 0.6301 - val_loss: 1.1172 - val_accuracy: 0.6128 Epoch 37/200 88/88 [==============================] - 1s 6ms/step - loss: 1.0547 - accuracy: 0.6336 - val_loss: 1.1219 - val_accuracy: 0.6086 Epoch 38/200 88/88 [==============================] - 1s 6ms/step - loss: 1.0514 - accuracy: 0.6328 - val_loss: 1.1190 - val_accuracy: 0.6078 Epoch 39/200 88/88 [==============================] - 1s 6ms/step - loss: 1.0503 - accuracy: 0.6358 - val_loss: 1.1079 - val_accuracy: 0.6206 Epoch 40/200 88/88 [==============================] - 1s 6ms/step - loss: 1.0435 - accuracy: 0.6368 - val_loss: 1.1101 - val_accuracy: 0.6204 Epoch 41/200 88/88 [==============================] - 1s 6ms/step - loss: 1.0408 - accuracy: 0.6383 - val_loss: 1.1268 - val_accuracy: 0.6072 Epoch 42/200 88/88 [==============================] - 1s 6ms/step - loss: 1.0359 - accuracy: 0.6403 - val_loss: 1.0990 - val_accuracy: 0.6188 Epoch 43/200 88/88 [==============================] - 1s 6ms/step - loss: 1.0286 - accuracy: 0.6436 - val_loss: 1.1010 - val_accuracy: 0.6180 Epoch 44/200 88/88 [==============================] - 1s 6ms/step - loss: 1.0325 - accuracy: 0.6414 - val_loss: 1.1026 - val_accuracy: 0.6212 Epoch 45/200 88/88 [==============================] - 1s 6ms/step - loss: 1.0261 - accuracy: 0.6425 - val_loss: 1.0957 - val_accuracy: 0.6138 Epoch 46/200 88/88 [==============================] - 1s 6ms/step - loss: 1.0243 - accuracy: 0.6439 - val_loss: 1.1011 - val_accuracy: 0.6190 Epoch 47/200 88/88 [==============================] - 1s 6ms/step - loss: 1.0190 - accuracy: 0.6458 - val_loss: 1.1010 - val_accuracy: 0.6160 Epoch 48/200 88/88 [==============================] - 1s 6ms/step - loss: 1.0102 - accuracy: 0.6481 - val_loss: 1.0878 - val_accuracy: 0.6232 Epoch 49/200 88/88 [==============================] - 1s 6ms/step - loss: 1.0056 - accuracy: 0.6510 - val_loss: 1.0966 - val_accuracy: 0.6204 Epoch 50/200 88/88 [==============================] - 1s 6ms/step - loss: 1.0041 - accuracy: 0.6514 - val_loss: 1.0965 - val_accuracy: 0.6164 Epoch 51/200 88/88 [==============================] - 1s 6ms/step - loss: 1.0024 - accuracy: 0.6531 - val_loss: 1.0806 - val_accuracy: 0.6242 Epoch 52/200 88/88 [==============================] - 1s 6ms/step - loss: 0.9980 - accuracy: 0.6533 - val_loss: 1.0877 - val_accuracy: 0.6200 Epoch 53/200 88/88 [==============================] - 1s 6ms/step - loss: 0.9942 - accuracy: 0.6532 - val_loss: 1.0876 - val_accuracy: 0.6224 Epoch 54/200 88/88 [==============================] - 1s 6ms/step - loss: 0.9903 - accuracy: 0.6554 - val_loss: 1.0852 - val_accuracy: 0.6180 Epoch 55/200 88/88 [==============================] - 1s 6ms/step - loss: 0.9879 - accuracy: 0.6563 - val_loss: 1.0701 - val_accuracy: 0.6266 Epoch 56/200 88/88 [==============================] - 1s 6ms/step - loss: 0.9823 - accuracy: 0.6591 - val_loss: 1.0743 - val_accuracy: 0.6230 Epoch 57/200 88/88 [==============================] - 1s 6ms/step - loss: 0.9816 - accuracy: 0.6587 - val_loss: 1.0788 - val_accuracy: 0.6276 Epoch 58/200 88/88 [==============================] - 1s 6ms/step - loss: 0.9774 - accuracy: 0.6596 - val_loss: 1.0760 - val_accuracy: 0.6226 Epoch 59/200 88/88 [==============================] - 1s 6ms/step - loss: 0.9741 - accuracy: 0.6615 - val_loss: 1.0688 - val_accuracy: 0.6272 Epoch 60/200 88/88 [==============================] - 1s 6ms/step - loss: 0.9712 - accuracy: 0.6636 - val_loss: 1.0787 - val_accuracy: 0.6226 Epoch 61/200 88/88 [==============================] - 1s 6ms/step - loss: 0.9671 - accuracy: 0.6623 - val_loss: 1.0874 - val_accuracy: 0.6238 Epoch 62/200 88/88 [==============================] - 1s 6ms/step - loss: 0.9625 - accuracy: 0.6647 - val_loss: 1.0522 - val_accuracy: 0.6338 Epoch 63/200 88/88 [==============================] - 1s 6ms/step - loss: 0.9609 - accuracy: 0.6660 - val_loss: 1.0616 - val_accuracy: 0.6312 Epoch 64/200 88/88 [==============================] - 1s 6ms/step - loss: 0.9601 - accuracy: 0.6666 - val_loss: 1.0602 - val_accuracy: 0.6302 Epoch 65/200 88/88 [==============================] - 1s 6ms/step - loss: 0.9533 - accuracy: 0.6684 - val_loss: 1.0513 - val_accuracy: 0.6336 Epoch 66/200 88/88 [==============================] - 1s 6ms/step - loss: 0.9522 - accuracy: 0.6692 - val_loss: 1.0545 - val_accuracy: 0.6346 Epoch 67/200 88/88 [==============================] - 1s 6ms/step - loss: 0.9484 - accuracy: 0.6704 - val_loss: 1.0489 - val_accuracy: 0.6338 Epoch 68/200 88/88 [==============================] - 1s 6ms/step - loss: 0.9464 - accuracy: 0.6731 - val_loss: 1.0634 - val_accuracy: 0.6270 Epoch 69/200 88/88 [==============================] - 1s 6ms/step - loss: 0.9474 - accuracy: 0.6698 - val_loss: 1.0465 - val_accuracy: 0.6338 Epoch 70/200 88/88 [==============================] - 1s 6ms/step - loss: 0.9436 - accuracy: 0.6722 - val_loss: 1.0777 - val_accuracy: 0.6196 Epoch 71/200 88/88 [==============================] - 1s 6ms/step - loss: 0.9411 - accuracy: 0.6732 - val_loss: 1.0435 - val_accuracy: 0.6376 Epoch 72/200 88/88 [==============================] - 1s 6ms/step - loss: 0.9399 - accuracy: 0.6740 - val_loss: 1.0446 - val_accuracy: 0.6418 Epoch 73/200 88/88 [==============================] - 1s 6ms/step - loss: 0.9337 - accuracy: 0.6756 - val_loss: 1.0476 - val_accuracy: 0.6320 Epoch 74/200 88/88 [==============================] - 1s 6ms/step - loss: 0.9344 - accuracy: 0.6763 - val_loss: 1.0553 - val_accuracy: 0.6314 Epoch 75/200 88/88 [==============================] - 1s 6ms/step - loss: 0.9298 - accuracy: 0.6756 - val_loss: 1.0502 - val_accuracy: 0.6360 Epoch 76/200 88/88 [==============================] - 1s 6ms/step - loss: 0.9288 - accuracy: 0.6772 - val_loss: 1.0502 - val_accuracy: 0.6356 Epoch 77/200 88/88 [==============================] - 1s 6ms/step - loss: 0.9313 - accuracy: 0.6772 - val_loss: 1.0501 - val_accuracy: 0.6356 Epoch 78/200 88/88 [==============================] - 1s 6ms/step - loss: 0.9308 - accuracy: 0.6774 - val_loss: 1.0393 - val_accuracy: 0.6356 Epoch 79/200 88/88 [==============================] - 1s 6ms/step - loss: 0.9261 - accuracy: 0.6781 - val_loss: 1.0402 - val_accuracy: 0.6404 Epoch 80/200 88/88 [==============================] - 1s 6ms/step - loss: 0.9223 - accuracy: 0.6797 - val_loss: 1.0390 - val_accuracy: 0.6316 Epoch 81/200 88/88 [==============================] - 1s 6ms/step - loss: 0.9236 - accuracy: 0.6794 - val_loss: 1.0438 - val_accuracy: 0.6426 Epoch 82/200 88/88 [==============================] - 1s 6ms/step - loss: 0.9163 - accuracy: 0.6818 - val_loss: 1.0429 - val_accuracy: 0.6370 Epoch 83/200 88/88 [==============================] - 1s 6ms/step - loss: 0.9220 - accuracy: 0.6804 - val_loss: 1.0461 - val_accuracy: 0.6340 Epoch 84/200 88/88 [==============================] - 1s 6ms/step - loss: 0.9179 - accuracy: 0.6807 - val_loss: 1.0445 - val_accuracy: 0.6372 Epoch 85/200 88/88 [==============================] - 1s 6ms/step - loss: 0.9180 - accuracy: 0.6815 - val_loss: 1.0326 - val_accuracy: 0.6400 Epoch 86/200 88/88 [==============================] - 1s 6ms/step - loss: 0.9138 - accuracy: 0.6821 - val_loss: 1.0410 - val_accuracy: 0.6432 Epoch 87/200 88/88 [==============================] - 1s 6ms/step - loss: 0.9110 - accuracy: 0.6836 - val_loss: 1.0317 - val_accuracy: 0.6442 Epoch 88/200 88/88 [==============================] - 1s 6ms/step - loss: 0.9063 - accuracy: 0.6851 - val_loss: 1.0293 - val_accuracy: 0.6398 Epoch 89/200 88/88 [==============================] - 1s 6ms/step - loss: 0.9070 - accuracy: 0.6841 - val_loss: 1.0393 - val_accuracy: 0.6408 Epoch 90/200 88/88 [==============================] - 1s 6ms/step - loss: 0.9029 - accuracy: 0.6867 - val_loss: 1.0432 - val_accuracy: 0.6398 Epoch 91/200 88/88 [==============================] - 1s 6ms/step - loss: 0.9075 - accuracy: 0.6863 - val_loss: 1.0210 - val_accuracy: 0.6470 Epoch 92/200 88/88 [==============================] - 1s 6ms/step - loss: 0.9017 - accuracy: 0.6871 - val_loss: 1.0453 - val_accuracy: 0.6390 Epoch 93/200 88/88 [==============================] - 1s 6ms/step - loss: 0.9041 - accuracy: 0.6871 - val_loss: 1.0404 - val_accuracy: 0.6388 Epoch 94/200 88/88 [==============================] - 1s 6ms/step - loss: 0.9005 - accuracy: 0.6876 - val_loss: 1.0339 - val_accuracy: 0.6438 Epoch 95/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8980 - accuracy: 0.6897 - val_loss: 1.0401 - val_accuracy: 0.6398 Epoch 96/200 88/88 [==============================] - 1s 6ms/step - loss: 0.9032 - accuracy: 0.6864 - val_loss: 1.0337 - val_accuracy: 0.6464 Epoch 97/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8972 - accuracy: 0.6887 - val_loss: 1.0311 - val_accuracy: 0.6472 Epoch 98/200 88/88 [==============================] - 1s 6ms/step - loss: 0.9013 - accuracy: 0.6867 - val_loss: 1.0307 - val_accuracy: 0.6444 Epoch 99/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8899 - accuracy: 0.6917 - val_loss: 1.0332 - val_accuracy: 0.6436 Epoch 100/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8913 - accuracy: 0.6911 - val_loss: 1.0273 - val_accuracy: 0.6448 Epoch 101/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8899 - accuracy: 0.6919 - val_loss: 1.0336 - val_accuracy: 0.6460 Epoch 102/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8911 - accuracy: 0.6916 - val_loss: 1.0223 - val_accuracy: 0.6484 Epoch 103/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8904 - accuracy: 0.6906 - val_loss: 1.0365 - val_accuracy: 0.6424 Epoch 104/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8888 - accuracy: 0.6932 - val_loss: 1.0255 - val_accuracy: 0.6450 Epoch 105/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8853 - accuracy: 0.6915 - val_loss: 1.0359 - val_accuracy: 0.6450 Epoch 106/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8867 - accuracy: 0.6916 - val_loss: 1.0400 - val_accuracy: 0.6390 Epoch 107/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8817 - accuracy: 0.6951 - val_loss: 1.0252 - val_accuracy: 0.6430 Epoch 108/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8822 - accuracy: 0.6932 - val_loss: 1.0278 - val_accuracy: 0.6418 Epoch 109/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8830 - accuracy: 0.6954 - val_loss: 1.0426 - val_accuracy: 0.6414 Epoch 110/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8814 - accuracy: 0.6943 - val_loss: 1.0321 - val_accuracy: 0.6408 Epoch 111/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8792 - accuracy: 0.6950 - val_loss: 1.0212 - val_accuracy: 0.6518 Epoch 112/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8754 - accuracy: 0.6962 - val_loss: 1.0215 - val_accuracy: 0.6456 Epoch 113/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8784 - accuracy: 0.6943 - val_loss: 1.0249 - val_accuracy: 0.6474 Epoch 114/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8790 - accuracy: 0.6950 - val_loss: 1.0386 - val_accuracy: 0.6436 Epoch 115/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8781 - accuracy: 0.6952 - val_loss: 1.0250 - val_accuracy: 0.6462 Epoch 116/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8751 - accuracy: 0.6974 - val_loss: 1.0340 - val_accuracy: 0.6388 Epoch 117/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8703 - accuracy: 0.6968 - val_loss: 1.0497 - val_accuracy: 0.6388 Epoch 118/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8776 - accuracy: 0.6950 - val_loss: 1.0359 - val_accuracy: 0.6360 Epoch 119/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8769 - accuracy: 0.6961 - val_loss: 1.0284 - val_accuracy: 0.6432 Epoch 120/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8732 - accuracy: 0.6964 - val_loss: 1.0436 - val_accuracy: 0.6420 Epoch 121/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8698 - accuracy: 0.6974 - val_loss: 1.0378 - val_accuracy: 0.6430 Epoch 122/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8672 - accuracy: 0.6998 - val_loss: 1.0291 - val_accuracy: 0.6406 Epoch 123/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8677 - accuracy: 0.6978 - val_loss: 1.0210 - val_accuracy: 0.6466 Epoch 124/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8660 - accuracy: 0.6987 - val_loss: 1.0127 - val_accuracy: 0.6504 Epoch 125/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8660 - accuracy: 0.6995 - val_loss: 1.0326 - val_accuracy: 0.6452 Epoch 126/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8663 - accuracy: 0.6988 - val_loss: 1.0350 - val_accuracy: 0.6426 Epoch 127/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8670 - accuracy: 0.6986 - val_loss: 1.0366 - val_accuracy: 0.6396 Epoch 128/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8633 - accuracy: 0.7006 - val_loss: 1.0230 - val_accuracy: 0.6470 Epoch 129/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8645 - accuracy: 0.7001 - val_loss: 1.0372 - val_accuracy: 0.6434 Epoch 130/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8629 - accuracy: 0.7004 - val_loss: 1.0164 - val_accuracy: 0.6478 Epoch 131/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8637 - accuracy: 0.6993 - val_loss: 1.0181 - val_accuracy: 0.6470 Epoch 132/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8595 - accuracy: 0.7012 - val_loss: 1.0426 - val_accuracy: 0.6440 Epoch 133/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8576 - accuracy: 0.7026 - val_loss: 1.0203 - val_accuracy: 0.6502 Epoch 134/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8594 - accuracy: 0.7029 - val_loss: 1.0229 - val_accuracy: 0.6478 Epoch 135/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8581 - accuracy: 0.6998 - val_loss: 1.0206 - val_accuracy: 0.6446 Epoch 136/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8570 - accuracy: 0.7025 - val_loss: 1.0236 - val_accuracy: 0.6452 Epoch 137/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8566 - accuracy: 0.7020 - val_loss: 1.0342 - val_accuracy: 0.6392 Epoch 138/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8525 - accuracy: 0.7050 - val_loss: 1.0311 - val_accuracy: 0.6394 Epoch 139/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8544 - accuracy: 0.7027 - val_loss: 1.0158 - val_accuracy: 0.6482 Epoch 140/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8493 - accuracy: 0.7055 - val_loss: 1.0231 - val_accuracy: 0.6502 Epoch 141/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8526 - accuracy: 0.7030 - val_loss: 1.0351 - val_accuracy: 0.6418 Epoch 142/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8551 - accuracy: 0.7018 - val_loss: 1.0295 - val_accuracy: 0.6454 Epoch 143/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8502 - accuracy: 0.7045 - val_loss: 1.0209 - val_accuracy: 0.6448 Epoch 144/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8479 - accuracy: 0.7059 - val_loss: 1.0363 - val_accuracy: 0.6392 Epoch 145/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8522 - accuracy: 0.7047 - val_loss: 1.0179 - val_accuracy: 0.6480 Epoch 146/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8490 - accuracy: 0.7050 - val_loss: 1.0313 - val_accuracy: 0.6434 Epoch 147/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8550 - accuracy: 0.7021 - val_loss: 1.0273 - val_accuracy: 0.6450 Epoch 148/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8489 - accuracy: 0.7049 - val_loss: 1.0531 - val_accuracy: 0.6370 Epoch 149/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8477 - accuracy: 0.7054 - val_loss: 1.0213 - val_accuracy: 0.6474 Epoch 150/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8484 - accuracy: 0.7048 - val_loss: 1.0319 - val_accuracy: 0.6406 Epoch 151/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8466 - accuracy: 0.7054 - val_loss: 1.0146 - val_accuracy: 0.6552 Epoch 152/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8466 - accuracy: 0.7046 - val_loss: 1.0231 - val_accuracy: 0.6452 Epoch 153/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8443 - accuracy: 0.7055 - val_loss: 1.0215 - val_accuracy: 0.6472 Epoch 154/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8475 - accuracy: 0.7061 - val_loss: 1.0254 - val_accuracy: 0.6442 Epoch 155/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8423 - accuracy: 0.7060 - val_loss: 1.0209 - val_accuracy: 0.6484 Epoch 156/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8433 - accuracy: 0.7061 - val_loss: 1.0235 - val_accuracy: 0.6496 Epoch 157/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8451 - accuracy: 0.7059 - val_loss: 1.0193 - val_accuracy: 0.6436 Epoch 158/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8420 - accuracy: 0.7069 - val_loss: 1.0322 - val_accuracy: 0.6454 Epoch 159/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8426 - accuracy: 0.7067 - val_loss: 1.0252 - val_accuracy: 0.6480 Epoch 160/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8378 - accuracy: 0.7093 - val_loss: 1.0207 - val_accuracy: 0.6470 Epoch 161/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8430 - accuracy: 0.7054 - val_loss: 1.0206 - val_accuracy: 0.6472 Epoch 162/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8380 - accuracy: 0.7087 - val_loss: 1.0321 - val_accuracy: 0.6442 Epoch 163/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8386 - accuracy: 0.7079 - val_loss: 1.0274 - val_accuracy: 0.6446 Epoch 164/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8367 - accuracy: 0.7084 - val_loss: 1.0276 - val_accuracy: 0.6476 Epoch 165/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8346 - accuracy: 0.7100 - val_loss: 1.0208 - val_accuracy: 0.6494 Epoch 166/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8376 - accuracy: 0.7099 - val_loss: 1.0298 - val_accuracy: 0.6494 Epoch 167/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8324 - accuracy: 0.7105 - val_loss: 1.0300 - val_accuracy: 0.6508 Epoch 168/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8344 - accuracy: 0.7087 - val_loss: 1.0246 - val_accuracy: 0.6508 Epoch 169/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8333 - accuracy: 0.7097 - val_loss: 1.0215 - val_accuracy: 0.6496 Epoch 170/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8345 - accuracy: 0.7103 - val_loss: 1.0148 - val_accuracy: 0.6518 Epoch 171/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8317 - accuracy: 0.7108 - val_loss: 1.0325 - val_accuracy: 0.6464 Epoch 172/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8345 - accuracy: 0.7101 - val_loss: 1.0186 - val_accuracy: 0.6520 Epoch 173/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8331 - accuracy: 0.7094 - val_loss: 1.0306 - val_accuracy: 0.6490 Epoch 174/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8378 - accuracy: 0.7092 - val_loss: 1.0244 - val_accuracy: 0.6482 Epoch 175/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8303 - accuracy: 0.7126 - val_loss: 1.0260 - val_accuracy: 0.6488 Epoch 176/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8329 - accuracy: 0.7116 - val_loss: 1.0242 - val_accuracy: 0.6502 Epoch 177/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8299 - accuracy: 0.7114 - val_loss: 1.0319 - val_accuracy: 0.6472 Epoch 178/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8277 - accuracy: 0.7101 - val_loss: 1.0274 - val_accuracy: 0.6508 Epoch 179/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8264 - accuracy: 0.7122 - val_loss: 1.0188 - val_accuracy: 0.6500 Epoch 180/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8297 - accuracy: 0.7119 - val_loss: 1.0289 - val_accuracy: 0.6532 Epoch 181/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8291 - accuracy: 0.7115 - val_loss: 1.0329 - val_accuracy: 0.6436 Epoch 182/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8248 - accuracy: 0.7131 - val_loss: 1.0347 - val_accuracy: 0.6442 Epoch 183/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8302 - accuracy: 0.7114 - val_loss: 1.0198 - val_accuracy: 0.6546 Epoch 184/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8304 - accuracy: 0.7106 - val_loss: 1.0284 - val_accuracy: 0.6468 Epoch 185/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8253 - accuracy: 0.7117 - val_loss: 1.0201 - val_accuracy: 0.6478 Epoch 186/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8258 - accuracy: 0.7138 - val_loss: 1.0358 - val_accuracy: 0.6460 Epoch 187/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8270 - accuracy: 0.7110 - val_loss: 1.0339 - val_accuracy: 0.6478 Epoch 188/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8248 - accuracy: 0.7117 - val_loss: 1.0346 - val_accuracy: 0.6478 Epoch 189/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8247 - accuracy: 0.7121 - val_loss: 1.0268 - val_accuracy: 0.6488 Epoch 190/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8231 - accuracy: 0.7140 - val_loss: 1.0260 - val_accuracy: 0.6512 Epoch 191/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8221 - accuracy: 0.7148 - val_loss: 1.0260 - val_accuracy: 0.6496 Epoch 192/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8231 - accuracy: 0.7136 - val_loss: 1.0285 - val_accuracy: 0.6506 Epoch 193/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8233 - accuracy: 0.7130 - val_loss: 1.0278 - val_accuracy: 0.6514 Epoch 194/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8287 - accuracy: 0.7111 - val_loss: 1.0290 - val_accuracy: 0.6488 Epoch 195/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8210 - accuracy: 0.7125 - val_loss: 1.0284 - val_accuracy: 0.6516 Epoch 196/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8200 - accuracy: 0.7143 - val_loss: 1.0334 - val_accuracy: 0.6456 Epoch 197/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8212 - accuracy: 0.7126 - val_loss: 1.0305 - val_accuracy: 0.6476 Epoch 198/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8181 - accuracy: 0.7148 - val_loss: 1.0195 - val_accuracy: 0.6498 Epoch 199/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8189 - accuracy: 0.7139 - val_loss: 1.0226 - val_accuracy: 0.6508 Epoch 200/200 88/88 [==============================] - 1s 6ms/step - loss: 0.8228 - accuracy: 0.7139 - val_loss: 1.0397 - val_accuracy: 0.6404
In [ ]:
accuracy_baseline = history.history['val_accuracy']
epochs = range(0,200)
plt.figure(figsize=(20,10))
plt.plot(epochs, accuracy_baseline, 'r', label='Baseline')
plt.title('Adam')
plt.xlabel('Epoch')
plt.ylabel('Validation Accuracy %')
plt.legend()
plt.show()
Augmented Dataset #1¶
(b) Augmented dataset #1: Brighten every pixel in every image by 10%, e.g., by multiplying 1.1. Make sure though, that they don’t exceed 1. For example, you may want to do something like this: np.minimum(1.1*X, 1).
In [ ]:
ad1 = np.minimum(1.1*X_train, 1)
In [ ]:
class_names = ['airplane', 'automobile', 'bird', 'cat', 'deer',
'dog', 'frog', 'horse', 'ship', 'truck']
plt.figure(figsize=(10,10))
for i in range(25):
plt.subplot(5,5,i+1)
plt.xticks([])
plt.yticks([])
plt.grid(False)
plt.imshow(ad1[i], cmap=plt.cm.binary)
# The CIFAR labels happen to be arrays,
# which is why you need the extra index
plt.xlabel(class_names[y_train[i][0]])
plt.show()
Augmented Dataset #2¶
(c) Augmented dataset #2: Darken every pixel in every image by 10%, e.g., by multiplying 0.9.
In [ ]:
ad2 = .9*X_train
In [ ]:
class_names = ['airplane', 'automobile', 'bird', 'cat', 'deer',
'dog', 'frog', 'horse', 'ship', 'truck']
plt.figure(figsize=(10,10))
for i in range(25):
plt.subplot(5,5,i+1)
plt.xticks([])
plt.yticks([])
plt.grid(False)
plt.imshow(ad2[i], cmap=plt.cm.binary)
# The CIFAR labels happen to be arrays,
# which is why you need the extra index
plt.xlabel(class_names[y_train[i][0]])
plt.show()
Augmented Dataset #3¶
(d) Augmented dataset #3: Flip all images horizontally (not upside down). As if they are mirrored.
In [ ]:
ad3 = tf.image.flip_left_right(X_train)
In [ ]:
class_names = ['airplane', 'automobile', 'bird', 'cat', 'deer',
'dog', 'frog', 'horse', 'ship', 'truck']
plt.figure(figsize=(10,10))
for i in range(25):
plt.subplot(5,5,i+1)
plt.xticks([])
plt.yticks([])
plt.grid(False)
plt.imshow(ad3[i], cmap=plt.cm.binary)
# The CIFAR labels happen to be arrays,
# which is why you need the extra index
plt.xlabel(class_names[y_train[i][0]])
plt.show()
In [ ]:
# Merge the 3 augmented datasets with original dataset as the 4th
X_combined = np.concatenate((ad1, ad2, ad3, X_train))
y_combined = np.concatenate((y_train_cat,y_train_cat,y_train_cat,y_train_cat))
In [ ]:
#Scale values around 0 from -1 to 1
X_combined = (X_combined-0.5)/0.5
In [ ]:
#Create 2D CNN with 2 hidden layers
shape = (32,32,3) # Define shape of input for Keras model
init = tf.keras.initializers.HeNormal(seed=None)
model = keras.Sequential(
[
tf.keras.layers.Input(shape=shape),
tf.keras.layers.Conv2D(filters=10, kernel_size=(5,5), strides=1, activation='relu'),
tf.keras.layers.MaxPooling2D(pool_size=(2,2), strides=2),
tf.keras.layers.Conv2D(filters=10, kernel_size=(5,5), strides=1, activation='relu'),
tf.keras.layers.MaxPooling2D(pool_size=(2,2), strides=2),
tf.keras.layers.Flatten(),
#tf.keras.layers.Dense(513,activation='relu'),
tf.keras.layers.Dense(20,activation='relu',kernel_initializer=init),
tf.keras.layers.Dense(10, activation='softmax',kernel_initializer=init)
]
)
model.summary()
Model: "sequential_3" _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= conv2d_2 (Conv2D) (None, 28, 28, 10) 760 _________________________________________________________________ max_pooling2d_2 (MaxPooling2 (None, 14, 14, 10) 0 _________________________________________________________________ conv2d_3 (Conv2D) (None, 10, 10, 10) 2510 _________________________________________________________________ max_pooling2d_3 (MaxPooling2 (None, 5, 5, 10) 0 _________________________________________________________________ flatten_3 (Flatten) (None, 250) 0 _________________________________________________________________ dense_4 (Dense) (None, 20) 5020 _________________________________________________________________ dense_5 (Dense) (None, 10) 210 ================================================================= Total params: 8,500 Trainable params: 8,500 Non-trainable params: 0 _________________________________________________________________
In [ ]:
#Compile and fit the model
model.compile(loss="categorical_crossentropy", optimizer="adam", metrics=["accuracy"])
#model.compile(loss="MeanSquaredError", optimizer="adam", metrics=["accuracy"])
#model.fit(S_abs[:,:,np.newaxis], X_abs[:,np.newaxis,:], batch_size=50, epochs=50, validation_split=0.1)
#model.fit(X_train, y_train, batch_size=50, epochs=200, validation_split=0.1)
history2 = model.fit(X_combined, y_combined, batch_size=512, epochs=200, validation_data=(X_val_scaled,y_val_scaled_cat))
Epoch 1/200 352/352 [==============================] - 2s 6ms/step - loss: 1.7403 - accuracy: 0.3634 - val_loss: 1.4305 - val_accuracy: 0.4832 Epoch 2/200 352/352 [==============================] - 2s 6ms/step - loss: 1.3592 - accuracy: 0.5110 - val_loss: 1.3276 - val_accuracy: 0.5166 Epoch 3/200 352/352 [==============================] - 2s 6ms/step - loss: 1.2647 - accuracy: 0.5477 - val_loss: 1.2655 - val_accuracy: 0.5424 Epoch 4/200 352/352 [==============================] - 2s 6ms/step - loss: 1.2097 - accuracy: 0.5689 - val_loss: 1.2321 - val_accuracy: 0.5516 Epoch 5/200 352/352 [==============================] - 2s 6ms/step - loss: 1.1714 - accuracy: 0.5846 - val_loss: 1.1964 - val_accuracy: 0.5710 Epoch 6/200 352/352 [==============================] - 2s 6ms/step - loss: 1.1384 - accuracy: 0.5972 - val_loss: 1.1821 - val_accuracy: 0.5764 Epoch 7/200 352/352 [==============================] - 2s 6ms/step - loss: 1.1139 - accuracy: 0.6067 - val_loss: 1.1585 - val_accuracy: 0.5830 Epoch 8/200 352/352 [==============================] - 2s 6ms/step - loss: 1.0934 - accuracy: 0.6152 - val_loss: 1.1429 - val_accuracy: 0.5968 Epoch 9/200 352/352 [==============================] - 2s 6ms/step - loss: 1.0739 - accuracy: 0.6214 - val_loss: 1.1376 - val_accuracy: 0.5950 Epoch 10/200 352/352 [==============================] - 2s 6ms/step - loss: 1.0578 - accuracy: 0.6274 - val_loss: 1.1341 - val_accuracy: 0.6014 Epoch 11/200 352/352 [==============================] - 2s 6ms/step - loss: 1.0449 - accuracy: 0.6330 - val_loss: 1.1136 - val_accuracy: 0.6016 Epoch 12/200 352/352 [==============================] - 2s 6ms/step - loss: 1.0316 - accuracy: 0.6393 - val_loss: 1.1057 - val_accuracy: 0.6070 Epoch 13/200 352/352 [==============================] - 2s 6ms/step - loss: 1.0225 - accuracy: 0.6434 - val_loss: 1.0953 - val_accuracy: 0.6128 Epoch 14/200 352/352 [==============================] - 2s 6ms/step - loss: 1.0104 - accuracy: 0.6479 - val_loss: 1.1043 - val_accuracy: 0.6140 Epoch 15/200 352/352 [==============================] - 2s 6ms/step - loss: 1.0012 - accuracy: 0.6523 - val_loss: 1.0792 - val_accuracy: 0.6146 Epoch 16/200 352/352 [==============================] - 2s 6ms/step - loss: 0.9935 - accuracy: 0.6547 - val_loss: 1.0762 - val_accuracy: 0.6190 Epoch 17/200 352/352 [==============================] - 2s 6ms/step - loss: 0.9868 - accuracy: 0.6564 - val_loss: 1.0619 - val_accuracy: 0.6220 Epoch 18/200 352/352 [==============================] - 2s 6ms/step - loss: 0.9799 - accuracy: 0.6595 - val_loss: 1.0645 - val_accuracy: 0.6256 Epoch 19/200 352/352 [==============================] - 2s 6ms/step - loss: 0.9741 - accuracy: 0.6617 - val_loss: 1.0558 - val_accuracy: 0.6234 Epoch 20/200 352/352 [==============================] - 2s 6ms/step - loss: 0.9667 - accuracy: 0.6641 - val_loss: 1.0591 - val_accuracy: 0.6286 Epoch 21/200 352/352 [==============================] - 2s 6ms/step - loss: 0.9630 - accuracy: 0.6654 - val_loss: 1.0572 - val_accuracy: 0.6322 Epoch 22/200 352/352 [==============================] - 2s 6ms/step - loss: 0.9574 - accuracy: 0.6675 - val_loss: 1.0549 - val_accuracy: 0.6346 Epoch 23/200 352/352 [==============================] - 2s 6ms/step - loss: 0.9541 - accuracy: 0.6693 - val_loss: 1.0510 - val_accuracy: 0.6348 Epoch 24/200 352/352 [==============================] - 2s 6ms/step - loss: 0.9481 - accuracy: 0.6704 - val_loss: 1.0376 - val_accuracy: 0.6384 Epoch 25/200 352/352 [==============================] - 2s 6ms/step - loss: 0.9424 - accuracy: 0.6722 - val_loss: 1.0447 - val_accuracy: 0.6386 Epoch 26/200 352/352 [==============================] - 2s 6ms/step - loss: 0.9390 - accuracy: 0.6738 - val_loss: 1.0399 - val_accuracy: 0.6410 Epoch 27/200 352/352 [==============================] - 2s 6ms/step - loss: 0.9354 - accuracy: 0.6748 - val_loss: 1.0326 - val_accuracy: 0.6458 Epoch 28/200 352/352 [==============================] - 2s 6ms/step - loss: 0.9330 - accuracy: 0.6764 - val_loss: 1.0289 - val_accuracy: 0.6494 Epoch 29/200 352/352 [==============================] - 2s 6ms/step - loss: 0.9273 - accuracy: 0.6782 - val_loss: 1.0361 - val_accuracy: 0.6436 Epoch 30/200 352/352 [==============================] - 2s 6ms/step - loss: 0.9246 - accuracy: 0.6791 - val_loss: 1.0332 - val_accuracy: 0.6442 Epoch 31/200 352/352 [==============================] - 2s 6ms/step - loss: 0.9204 - accuracy: 0.6807 - val_loss: 1.0318 - val_accuracy: 0.6462 Epoch 32/200 352/352 [==============================] - 2s 6ms/step - loss: 0.9159 - accuracy: 0.6817 - val_loss: 1.0425 - val_accuracy: 0.6416 Epoch 33/200 352/352 [==============================] - 2s 6ms/step - loss: 0.9143 - accuracy: 0.6820 - val_loss: 1.0202 - val_accuracy: 0.6460 Epoch 34/200 352/352 [==============================] - 2s 6ms/step - loss: 0.9126 - accuracy: 0.6838 - val_loss: 1.0383 - val_accuracy: 0.6400 Epoch 35/200 352/352 [==============================] - 2s 6ms/step - loss: 0.9097 - accuracy: 0.6842 - val_loss: 1.0302 - val_accuracy: 0.6458 Epoch 36/200 352/352 [==============================] - 2s 6ms/step - loss: 0.9041 - accuracy: 0.6861 - val_loss: 1.0185 - val_accuracy: 0.6502 Epoch 37/200 352/352 [==============================] - 2s 6ms/step - loss: 0.9023 - accuracy: 0.6863 - val_loss: 1.0122 - val_accuracy: 0.6518 Epoch 38/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8952 - accuracy: 0.6881 - val_loss: 1.0071 - val_accuracy: 0.6548 Epoch 39/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8928 - accuracy: 0.6895 - val_loss: 1.0169 - val_accuracy: 0.6510 Epoch 40/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8883 - accuracy: 0.6916 - val_loss: 1.0041 - val_accuracy: 0.6540 Epoch 41/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8887 - accuracy: 0.6911 - val_loss: 1.0140 - val_accuracy: 0.6524 Epoch 42/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8840 - accuracy: 0.6936 - val_loss: 1.0138 - val_accuracy: 0.6554 Epoch 43/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8833 - accuracy: 0.6940 - val_loss: 1.0326 - val_accuracy: 0.6502 Epoch 44/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8784 - accuracy: 0.6949 - val_loss: 1.0031 - val_accuracy: 0.6564 Epoch 45/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8783 - accuracy: 0.6953 - val_loss: 1.0156 - val_accuracy: 0.6504 Epoch 46/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8759 - accuracy: 0.6967 - val_loss: 1.0055 - val_accuracy: 0.6554 Epoch 47/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8731 - accuracy: 0.6964 - val_loss: 1.0055 - val_accuracy: 0.6560 Epoch 48/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8689 - accuracy: 0.6986 - val_loss: 0.9966 - val_accuracy: 0.6602 Epoch 49/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8697 - accuracy: 0.6980 - val_loss: 1.0003 - val_accuracy: 0.6562 Epoch 50/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8666 - accuracy: 0.6988 - val_loss: 0.9998 - val_accuracy: 0.6546 Epoch 51/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8666 - accuracy: 0.6988 - val_loss: 1.0189 - val_accuracy: 0.6530 Epoch 52/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8635 - accuracy: 0.6998 - val_loss: 0.9998 - val_accuracy: 0.6626 Epoch 53/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8622 - accuracy: 0.7000 - val_loss: 0.9912 - val_accuracy: 0.6652 Epoch 54/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8585 - accuracy: 0.7023 - val_loss: 0.9922 - val_accuracy: 0.6592 Epoch 55/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8568 - accuracy: 0.7021 - val_loss: 0.9905 - val_accuracy: 0.6656 Epoch 56/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8561 - accuracy: 0.7028 - val_loss: 1.0042 - val_accuracy: 0.6544 Epoch 57/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8554 - accuracy: 0.7028 - val_loss: 0.9937 - val_accuracy: 0.6644 Epoch 58/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8531 - accuracy: 0.7033 - val_loss: 0.9909 - val_accuracy: 0.6604 Epoch 59/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8504 - accuracy: 0.7050 - val_loss: 0.9821 - val_accuracy: 0.6644 Epoch 60/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8506 - accuracy: 0.7040 - val_loss: 0.9940 - val_accuracy: 0.6600 Epoch 61/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8472 - accuracy: 0.7061 - val_loss: 0.9903 - val_accuracy: 0.6584 Epoch 62/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8475 - accuracy: 0.7049 - val_loss: 0.9941 - val_accuracy: 0.6600 Epoch 63/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8451 - accuracy: 0.7067 - val_loss: 0.9863 - val_accuracy: 0.6614 Epoch 64/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8436 - accuracy: 0.7068 - val_loss: 0.9892 - val_accuracy: 0.6648 Epoch 65/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8424 - accuracy: 0.7074 - val_loss: 0.9814 - val_accuracy: 0.6648 Epoch 66/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8413 - accuracy: 0.7075 - val_loss: 0.9997 - val_accuracy: 0.6626 Epoch 67/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8394 - accuracy: 0.7077 - val_loss: 0.9775 - val_accuracy: 0.6684 Epoch 68/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8384 - accuracy: 0.7086 - val_loss: 0.9918 - val_accuracy: 0.6634 Epoch 69/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8384 - accuracy: 0.7087 - val_loss: 1.0035 - val_accuracy: 0.6588 Epoch 70/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8367 - accuracy: 0.7097 - val_loss: 0.9874 - val_accuracy: 0.6664 Epoch 71/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8354 - accuracy: 0.7102 - val_loss: 0.9812 - val_accuracy: 0.6648 Epoch 72/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8337 - accuracy: 0.7091 - val_loss: 0.9860 - val_accuracy: 0.6644 Epoch 73/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8331 - accuracy: 0.7099 - val_loss: 0.9884 - val_accuracy: 0.6630 Epoch 74/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8330 - accuracy: 0.7098 - val_loss: 0.9706 - val_accuracy: 0.6654 Epoch 75/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8303 - accuracy: 0.7118 - val_loss: 0.9982 - val_accuracy: 0.6590 Epoch 76/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8298 - accuracy: 0.7119 - val_loss: 0.9785 - val_accuracy: 0.6662 Epoch 77/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8276 - accuracy: 0.7120 - val_loss: 0.9856 - val_accuracy: 0.6632 Epoch 78/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8305 - accuracy: 0.7105 - val_loss: 0.9770 - val_accuracy: 0.6676 Epoch 79/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8287 - accuracy: 0.7120 - val_loss: 0.9819 - val_accuracy: 0.6608 Epoch 80/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8289 - accuracy: 0.7117 - val_loss: 0.9998 - val_accuracy: 0.6558 Epoch 81/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8263 - accuracy: 0.7125 - val_loss: 0.9815 - val_accuracy: 0.6628 Epoch 82/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8260 - accuracy: 0.7129 - val_loss: 0.9956 - val_accuracy: 0.6632 Epoch 83/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8230 - accuracy: 0.7142 - val_loss: 0.9840 - val_accuracy: 0.6634 Epoch 84/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8248 - accuracy: 0.7131 - val_loss: 0.9793 - val_accuracy: 0.6670 Epoch 85/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8267 - accuracy: 0.7125 - val_loss: 0.9787 - val_accuracy: 0.6696 Epoch 86/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8199 - accuracy: 0.7147 - val_loss: 1.0038 - val_accuracy: 0.6530 Epoch 87/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8218 - accuracy: 0.7153 - val_loss: 0.9988 - val_accuracy: 0.6640 Epoch 88/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8193 - accuracy: 0.7157 - val_loss: 0.9882 - val_accuracy: 0.6652 Epoch 89/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8195 - accuracy: 0.7157 - val_loss: 0.9757 - val_accuracy: 0.6724 Epoch 90/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8195 - accuracy: 0.7150 - val_loss: 0.9882 - val_accuracy: 0.6650 Epoch 91/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8191 - accuracy: 0.7151 - val_loss: 0.9811 - val_accuracy: 0.6710 Epoch 92/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8186 - accuracy: 0.7157 - val_loss: 1.0141 - val_accuracy: 0.6580 Epoch 93/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8178 - accuracy: 0.7154 - val_loss: 0.9741 - val_accuracy: 0.6664 Epoch 94/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8169 - accuracy: 0.7164 - val_loss: 0.9751 - val_accuracy: 0.6702 Epoch 95/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8151 - accuracy: 0.7168 - val_loss: 0.9820 - val_accuracy: 0.6658 Epoch 96/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8142 - accuracy: 0.7174 - val_loss: 0.9777 - val_accuracy: 0.6648 Epoch 97/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8137 - accuracy: 0.7176 - val_loss: 0.9912 - val_accuracy: 0.6656 Epoch 98/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8142 - accuracy: 0.7169 - val_loss: 0.9800 - val_accuracy: 0.6654 Epoch 99/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8130 - accuracy: 0.7175 - val_loss: 0.9754 - val_accuracy: 0.6676 Epoch 100/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8148 - accuracy: 0.7169 - val_loss: 0.9761 - val_accuracy: 0.6710 Epoch 101/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8123 - accuracy: 0.7179 - val_loss: 0.9793 - val_accuracy: 0.6682 Epoch 102/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8113 - accuracy: 0.7187 - val_loss: 0.9763 - val_accuracy: 0.6684 Epoch 103/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8120 - accuracy: 0.7178 - val_loss: 0.9873 - val_accuracy: 0.6650 Epoch 104/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8110 - accuracy: 0.7185 - val_loss: 0.9772 - val_accuracy: 0.6652 Epoch 105/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8100 - accuracy: 0.7187 - val_loss: 0.9871 - val_accuracy: 0.6624 Epoch 106/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8134 - accuracy: 0.7178 - val_loss: 0.9848 - val_accuracy: 0.6642 Epoch 107/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8083 - accuracy: 0.7197 - val_loss: 0.9786 - val_accuracy: 0.6666 Epoch 108/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8093 - accuracy: 0.7192 - val_loss: 0.9791 - val_accuracy: 0.6640 Epoch 109/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8087 - accuracy: 0.7189 - val_loss: 0.9854 - val_accuracy: 0.6614 Epoch 110/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8077 - accuracy: 0.7196 - val_loss: 0.9896 - val_accuracy: 0.6602 Epoch 111/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8062 - accuracy: 0.7203 - val_loss: 0.9801 - val_accuracy: 0.6666 Epoch 112/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8070 - accuracy: 0.7203 - val_loss: 0.9847 - val_accuracy: 0.6642 Epoch 113/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8075 - accuracy: 0.7198 - val_loss: 0.9735 - val_accuracy: 0.6718 Epoch 114/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8071 - accuracy: 0.7197 - val_loss: 0.9861 - val_accuracy: 0.6632 Epoch 115/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8047 - accuracy: 0.7201 - val_loss: 0.9911 - val_accuracy: 0.6624 Epoch 116/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8056 - accuracy: 0.7206 - val_loss: 0.9721 - val_accuracy: 0.6738 Epoch 117/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8077 - accuracy: 0.7204 - val_loss: 0.9743 - val_accuracy: 0.6722 Epoch 118/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8035 - accuracy: 0.7211 - val_loss: 0.9742 - val_accuracy: 0.6700 Epoch 119/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8036 - accuracy: 0.7210 - val_loss: 0.9748 - val_accuracy: 0.6696 Epoch 120/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8023 - accuracy: 0.7217 - val_loss: 0.9792 - val_accuracy: 0.6686 Epoch 121/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8039 - accuracy: 0.7208 - val_loss: 0.9757 - val_accuracy: 0.6734 Epoch 122/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8033 - accuracy: 0.7213 - val_loss: 0.9810 - val_accuracy: 0.6666 Epoch 123/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8038 - accuracy: 0.7205 - val_loss: 0.9798 - val_accuracy: 0.6658 Epoch 124/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8013 - accuracy: 0.7214 - val_loss: 0.9818 - val_accuracy: 0.6710 Epoch 125/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8018 - accuracy: 0.7216 - val_loss: 0.9710 - val_accuracy: 0.6670 Epoch 126/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8010 - accuracy: 0.7219 - val_loss: 0.9785 - val_accuracy: 0.6692 Epoch 127/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8008 - accuracy: 0.7225 - val_loss: 0.9799 - val_accuracy: 0.6680 Epoch 128/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8006 - accuracy: 0.7220 - val_loss: 0.9834 - val_accuracy: 0.6686 Epoch 129/200 352/352 [==============================] - 2s 6ms/step - loss: 0.7986 - accuracy: 0.7231 - val_loss: 0.9811 - val_accuracy: 0.6708 Epoch 130/200 352/352 [==============================] - 2s 6ms/step - loss: 0.7997 - accuracy: 0.7215 - val_loss: 0.9837 - val_accuracy: 0.6692 Epoch 131/200 352/352 [==============================] - 2s 6ms/step - loss: 0.8010 - accuracy: 0.7220 - val_loss: 0.9987 - val_accuracy: 0.6652 Epoch 132/200 352/352 [==============================] - 2s 6ms/step - loss: 0.7996 - accuracy: 0.7230 - val_loss: 0.9831 - val_accuracy: 0.6656 Epoch 133/200 352/352 [==============================] - 2s 6ms/step - loss: 0.7988 - accuracy: 0.7224 - val_loss: 0.9754 - val_accuracy: 0.6684 Epoch 134/200 352/352 [==============================] - 2s 6ms/step - loss: 0.7966 - accuracy: 0.7241 - val_loss: 0.9832 - val_accuracy: 0.6626 Epoch 135/200 352/352 [==============================] - 2s 6ms/step - loss: 0.7975 - accuracy: 0.7227 - val_loss: 0.9946 - val_accuracy: 0.6610 Epoch 136/200 352/352 [==============================] - 2s 6ms/step - loss: 0.7968 - accuracy: 0.7233 - val_loss: 0.9830 - val_accuracy: 0.6666 Epoch 137/200 352/352 [==============================] - 2s 6ms/step - loss: 0.7954 - accuracy: 0.7246 - val_loss: 0.9861 - val_accuracy: 0.6648 Epoch 138/200 352/352 [==============================] - 2s 6ms/step - loss: 0.7966 - accuracy: 0.7232 - val_loss: 0.9939 - val_accuracy: 0.6620 Epoch 139/200 352/352 [==============================] - 2s 6ms/step - loss: 0.7978 - accuracy: 0.7233 - val_loss: 0.9743 - val_accuracy: 0.6674 Epoch 140/200 352/352 [==============================] - 2s 6ms/step - loss: 0.7958 - accuracy: 0.7236 - val_loss: 0.9909 - val_accuracy: 0.6664 Epoch 141/200 352/352 [==============================] - 2s 6ms/step - loss: 0.7958 - accuracy: 0.7233 - val_loss: 0.9793 - val_accuracy: 0.6698 Epoch 142/200 352/352 [==============================] - 2s 6ms/step - loss: 0.7961 - accuracy: 0.7241 - val_loss: 0.9719 - val_accuracy: 0.6680 Epoch 143/200 352/352 [==============================] - 2s 6ms/step - loss: 0.7960 - accuracy: 0.7240 - val_loss: 0.9950 - val_accuracy: 0.6592 Epoch 144/200 352/352 [==============================] - 2s 6ms/step - loss: 0.7969 - accuracy: 0.7230 - val_loss: 0.9834 - val_accuracy: 0.6670 Epoch 145/200 352/352 [==============================] - 2s 6ms/step - loss: 0.7942 - accuracy: 0.7244 - val_loss: 0.9777 - val_accuracy: 0.6640 Epoch 146/200 352/352 [==============================] - 2s 6ms/step - loss: 0.7953 - accuracy: 0.7237 - val_loss: 0.9775 - val_accuracy: 0.6662 Epoch 147/200 352/352 [==============================] - 2s 6ms/step - loss: 0.7928 - accuracy: 0.7246 - val_loss: 0.9835 - val_accuracy: 0.6692 Epoch 148/200 352/352 [==============================] - 2s 6ms/step - loss: 0.7955 - accuracy: 0.7232 - val_loss: 0.9776 - val_accuracy: 0.6688 Epoch 149/200 352/352 [==============================] - 2s 6ms/step - loss: 0.7940 - accuracy: 0.7242 - val_loss: 0.9713 - val_accuracy: 0.6698 Epoch 150/200 352/352 [==============================] - 2s 6ms/step - loss: 0.7946 - accuracy: 0.7242 - val_loss: 0.9832 - val_accuracy: 0.6658 Epoch 151/200 352/352 [==============================] - 2s 6ms/step - loss: 0.7919 - accuracy: 0.7248 - val_loss: 0.9829 - val_accuracy: 0.6664 Epoch 152/200 352/352 [==============================] - 2s 6ms/step - loss: 0.7930 - accuracy: 0.7241 - val_loss: 0.9782 - val_accuracy: 0.6688 Epoch 153/200 352/352 [==============================] - 2s 6ms/step - loss: 0.7907 - accuracy: 0.7249 - val_loss: 0.9909 - val_accuracy: 0.6676 Epoch 154/200 352/352 [==============================] - 2s 6ms/step - loss: 0.7925 - accuracy: 0.7245 - val_loss: 0.9788 - val_accuracy: 0.6654 Epoch 155/200 352/352 [==============================] - 2s 6ms/step - loss: 0.7917 - accuracy: 0.7253 - val_loss: 0.9869 - val_accuracy: 0.6658 Epoch 156/200 352/352 [==============================] - 2s 6ms/step - loss: 0.7909 - accuracy: 0.7254 - val_loss: 0.9836 - val_accuracy: 0.6678 Epoch 157/200 352/352 [==============================] - 2s 6ms/step - loss: 0.7922 - accuracy: 0.7242 - val_loss: 0.9834 - val_accuracy: 0.6694 Epoch 158/200 352/352 [==============================] - 2s 6ms/step - loss: 0.7919 - accuracy: 0.7245 - val_loss: 0.9754 - val_accuracy: 0.6696 Epoch 159/200 352/352 [==============================] - 2s 6ms/step - loss: 0.7902 - accuracy: 0.7258 - val_loss: 0.9804 - val_accuracy: 0.6712 Epoch 160/200 352/352 [==============================] - 2s 6ms/step - loss: 0.7898 - accuracy: 0.7249 - val_loss: 0.9879 - val_accuracy: 0.6638 Epoch 161/200 352/352 [==============================] - 2s 6ms/step - loss: 0.7899 - accuracy: 0.7258 - val_loss: 0.9746 - val_accuracy: 0.6710 Epoch 162/200 352/352 [==============================] - 2s 6ms/step - loss: 0.7913 - accuracy: 0.7243 - val_loss: 0.9782 - val_accuracy: 0.6650 Epoch 163/200 352/352 [==============================] - 2s 6ms/step - loss: 0.7907 - accuracy: 0.7253 - val_loss: 0.9792 - val_accuracy: 0.6650 Epoch 164/200 352/352 [==============================] - 2s 6ms/step - loss: 0.7913 - accuracy: 0.7245 - val_loss: 0.9858 - val_accuracy: 0.6664 Epoch 165/200 352/352 [==============================] - 2s 6ms/step - loss: 0.7898 - accuracy: 0.7250 - val_loss: 0.9844 - val_accuracy: 0.6646 Epoch 166/200 352/352 [==============================] - 2s 6ms/step - loss: 0.7886 - accuracy: 0.7267 - val_loss: 0.9838 - val_accuracy: 0.6636 Epoch 167/200 352/352 [==============================] - 2s 6ms/step - loss: 0.7891 - accuracy: 0.7259 - val_loss: 0.9701 - val_accuracy: 0.6758 Epoch 168/200 352/352 [==============================] - 2s 6ms/step - loss: 0.7881 - accuracy: 0.7259 - val_loss: 0.9718 - val_accuracy: 0.6670 Epoch 169/200 352/352 [==============================] - 2s 6ms/step - loss: 0.7874 - accuracy: 0.7259 - val_loss: 0.9782 - val_accuracy: 0.6702 Epoch 170/200 352/352 [==============================] - 2s 6ms/step - loss: 0.7895 - accuracy: 0.7255 - val_loss: 0.9879 - val_accuracy: 0.6674 Epoch 171/200 352/352 [==============================] - 2s 6ms/step - loss: 0.7910 - accuracy: 0.7252 - val_loss: 0.9777 - val_accuracy: 0.6672 Epoch 172/200 352/352 [==============================] - 2s 6ms/step - loss: 0.7874 - accuracy: 0.7264 - val_loss: 0.9750 - val_accuracy: 0.6676 Epoch 173/200 352/352 [==============================] - 2s 6ms/step - loss: 0.7856 - accuracy: 0.7269 - val_loss: 0.9812 - val_accuracy: 0.6660 Epoch 174/200 352/352 [==============================] - 2s 6ms/step - loss: 0.7872 - accuracy: 0.7261 - val_loss: 0.9990 - val_accuracy: 0.6584 Epoch 175/200 352/352 [==============================] - 2s 6ms/step - loss: 0.7870 - accuracy: 0.7265 - val_loss: 0.9724 - val_accuracy: 0.6722 Epoch 176/200 352/352 [==============================] - 2s 6ms/step - loss: 0.7870 - accuracy: 0.7267 - val_loss: 0.9780 - val_accuracy: 0.6680 Epoch 177/200 352/352 [==============================] - 2s 6ms/step - loss: 0.7873 - accuracy: 0.7261 - val_loss: 0.9871 - val_accuracy: 0.6632 Epoch 178/200 352/352 [==============================] - 2s 6ms/step - loss: 0.7853 - accuracy: 0.7274 - val_loss: 0.9858 - val_accuracy: 0.6672 Epoch 179/200 352/352 [==============================] - 2s 6ms/step - loss: 0.7876 - accuracy: 0.7266 - val_loss: 0.9812 - val_accuracy: 0.6700 Epoch 180/200 352/352 [==============================] - 2s 6ms/step - loss: 0.7873 - accuracy: 0.7268 - val_loss: 0.9826 - val_accuracy: 0.6648 Epoch 181/200 352/352 [==============================] - 2s 6ms/step - loss: 0.7847 - accuracy: 0.7277 - val_loss: 0.9953 - val_accuracy: 0.6668 Epoch 182/200 352/352 [==============================] - 2s 6ms/step - loss: 0.7871 - accuracy: 0.7261 - val_loss: 0.9817 - val_accuracy: 0.6664 Epoch 183/200 352/352 [==============================] - 2s 6ms/step - loss: 0.7863 - accuracy: 0.7261 - val_loss: 0.9786 - val_accuracy: 0.6684 Epoch 184/200 352/352 [==============================] - 2s 6ms/step - loss: 0.7867 - accuracy: 0.7259 - val_loss: 0.9864 - val_accuracy: 0.6658 Epoch 185/200 352/352 [==============================] - 2s 6ms/step - loss: 0.7841 - accuracy: 0.7271 - val_loss: 0.9878 - val_accuracy: 0.6642 Epoch 186/200 352/352 [==============================] - 2s 6ms/step - loss: 0.7855 - accuracy: 0.7259 - val_loss: 0.9778 - val_accuracy: 0.6636 Epoch 187/200 352/352 [==============================] - 2s 6ms/step - loss: 0.7841 - accuracy: 0.7271 - val_loss: 0.9827 - val_accuracy: 0.6614 Epoch 188/200 352/352 [==============================] - 2s 6ms/step - loss: 0.7842 - accuracy: 0.7273 - val_loss: 0.9996 - val_accuracy: 0.6624 Epoch 189/200 352/352 [==============================] - 2s 6ms/step - loss: 0.7832 - accuracy: 0.7280 - val_loss: 1.0159 - val_accuracy: 0.6578 Epoch 190/200 352/352 [==============================] - 2s 6ms/step - loss: 0.7847 - accuracy: 0.7269 - val_loss: 0.9850 - val_accuracy: 0.6660 Epoch 191/200 352/352 [==============================] - 2s 6ms/step - loss: 0.7844 - accuracy: 0.7269 - val_loss: 0.9865 - val_accuracy: 0.6658 Epoch 192/200 352/352 [==============================] - 2s 6ms/step - loss: 0.7839 - accuracy: 0.7269 - val_loss: 0.9711 - val_accuracy: 0.6688 Epoch 193/200 352/352 [==============================] - 2s 6ms/step - loss: 0.7829 - accuracy: 0.7273 - val_loss: 0.9817 - val_accuracy: 0.6694 Epoch 194/200 352/352 [==============================] - 2s 6ms/step - loss: 0.7834 - accuracy: 0.7275 - val_loss: 0.9862 - val_accuracy: 0.6660 Epoch 195/200 352/352 [==============================] - 2s 6ms/step - loss: 0.7836 - accuracy: 0.7278 - val_loss: 0.9789 - val_accuracy: 0.6688 Epoch 196/200 352/352 [==============================] - 2s 6ms/step - loss: 0.7807 - accuracy: 0.7281 - val_loss: 0.9815 - val_accuracy: 0.6696 Epoch 197/200 352/352 [==============================] - 2s 6ms/step - loss: 0.7832 - accuracy: 0.7272 - val_loss: 0.9849 - val_accuracy: 0.6666 Epoch 198/200 352/352 [==============================] - 2s 6ms/step - loss: 0.7823 - accuracy: 0.7275 - val_loss: 0.9889 - val_accuracy: 0.6656 Epoch 199/200 352/352 [==============================] - 2s 6ms/step - loss: 0.7834 - accuracy: 0.7276 - val_loss: 0.9925 - val_accuracy: 0.6672 Epoch 200/200 352/352 [==============================] - 2s 6ms/step - loss: 0.7816 - accuracy: 0.7278 - val_loss: 0.9743 - val_accuracy: 0.6692
In [ ]:
validation_baseline = history.history['val_accuracy']
augmented = history2.history['val_accuracy']
epochs = range(0,200)
plt.figure(figsize=(20,10))
plt.plot(epochs, validation_baseline, 'r', label='Baseline')
plt.plot(epochs, augmented, 'b', label='Augmented')
plt.axis([None, None, 0, 1])
plt.title('Adam')
plt.xlabel('Epoch')
plt.ylabel('Validation Accuracy %')
plt.legend()
plt.show()
Problem 4¶
Imports¶
In [ ]:
import tensorflow as tf
from tensorflow.keras import datasets, layers, models
import matplotlib.pyplot as plt
from sklearn.model_selection import train_test_split
from tensorflow import keras
import numpy as np
In [ ]:
#Load cifar10 data
(X_train, y_train), (X_test, y_test) = datasets.cifar10.load_data()
In [ ]:
#Create training datasets
X_train_500 = X_train[49500:]/255
y_train_500 = y_train[49500:]
X_train = X_train[0:49500]/255
y_train = y_train[0:49500:]
X_test = X_test/255
#Use Keras utility to transform labels into onehot encoding (binary categories)
y_test = keras.utils.to_categorical(y_test, 10)
y_train_500 = keras.utils.to_categorical(y_train_500, 10)
Pretext Data Task¶
(a) On the other hand, we will assume that the rest of the 49,500 training examples are unlabeled. We will create a bogus classification problem using them. Let this unlabeled examples (or the examples that you disregard their original labels) be “class 0”.
In [ ]:
#Create class of 's for first unlabeled dataset
y_train_a = np.zeros(49500)
In [ ]:
class_names = ['airplane', 'automobile', 'bird', 'cat', 'deer',
'dog', 'frog', 'horse', 'ship', 'truck']
plt.figure(figsize=(10,10))
for i in range(25):
plt.subplot(5,5,i+1)
plt.xticks([])
plt.yticks([])
plt.grid(False)
plt.imshow(X_train[i], cmap=plt.cm.binary)
# The CIFAR labels happen to be arrays,
# which is why you need the extra index
plt.xlabel(class_names[y_train[i][0]])
plt.show()
(b) “class 1”: Create a new class, by vertically flipping all the images upside down.
In [ ]:
#Flip images and store as new dataset
X_train_b = np.flip(X_train,axis=1)
#Create labels with 1's as class
y_train_b = np.ones(49500)
In [ ]:
class_names = ['airplane', 'automobile', 'bird', 'cat', 'deer',
'dog', 'frog', 'horse', 'ship', 'truck']
plt.figure(figsize=(10,10))
for i in range(25):
plt.subplot(5,5,i+1)
plt.xticks([])
plt.yticks([])
plt.grid(False)
plt.imshow(X_train_b[i], cmap=plt.cm.binary)
# The CIFAR labels happen to be arrays,
# which is why you need the extra index
plt.xlabel(class_names[y_train[i][0]])
plt.show()
(c) “class 2”: Create another class, by rotating the images 90 degree counter-clock wise.
In [ ]:
#Rotate images by 90 degrees
X_train_c = np.rot90(X_train, axes=(1,2))
#Create labels with 2's as class
y_train_c = np.ones(49500)*2
In [ ]:
class_names = ['airplane', 'automobile', 'bird', 'cat', 'deer',
'dog', 'frog', 'horse', 'ship', 'truck']
plt.figure(figsize=(10,10))
for i in range(25):
plt.subplot(5,5,i+1)
plt.xticks([])
plt.yticks([])
plt.grid(False)
plt.imshow(X_train_c[i], cmap=plt.cm.binary)
# The CIFAR labels happen to be arrays,
# which is why you need the extra index
plt.xlabel(class_names[y_train[i][0]])
plt.show()
In [ ]:
# Merge the 3 augmented datasets with original dataset as the 4th
X_combined = np.concatenate((X_train, X_train_b, X_train_c))
y_combined = np.concatenate((y_train_a,y_train_b,y_train_c))
In [ ]:
#Use Keras utility to transform labels into onehot encoding (binary categories)
y_combined = keras.utils.to_categorical(y_combined, 3)
In [ ]:
#Create 2D CNN with 2 hidden layers
shape = (32,32,3) # Define shape of input for Keras model
init = tf.keras.initializers.HeNormal(seed=None)
model = keras.Sequential(
[
tf.keras.layers.Input(shape=shape),
tf.keras.layers.Conv2D(filters=10, kernel_size=(5,5), strides=1, activation='relu'),
tf.keras.layers.MaxPooling2D(pool_size=(2,2), strides=2),
tf.keras.layers.Conv2D(filters=10, kernel_size=(5,5), strides=1, activation='relu'),
tf.keras.layers.MaxPooling2D(pool_size=(2,2), strides=2),
tf.keras.layers.Flatten(),
#tf.keras.layers.Dense(513,activation='relu'),
tf.keras.layers.Dense(20,activation='relu',kernel_initializer=init),
tf.keras.layers.Dense(3, activation='softmax',kernel_initializer=init)
]
)
model.summary()
Model: "sequential" _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= conv2d (Conv2D) (None, 28, 28, 10) 760 _________________________________________________________________ max_pooling2d (MaxPooling2D) (None, 14, 14, 10) 0 _________________________________________________________________ conv2d_1 (Conv2D) (None, 10, 10, 10) 2510 _________________________________________________________________ max_pooling2d_1 (MaxPooling2 (None, 5, 5, 10) 0 _________________________________________________________________ flatten (Flatten) (None, 250) 0 _________________________________________________________________ dense (Dense) (None, 20) 5020 _________________________________________________________________ dense_1 (Dense) (None, 3) 63 ================================================================= Total params: 8,353 Trainable params: 8,353 Non-trainable params: 0 _________________________________________________________________
In [ ]:
#Compile and fit the model
model.compile(loss="categorical_crossentropy", optimizer="adam", metrics=["accuracy"])
#model.compile(loss="MeanSquaredError", optimizer="adam", metrics=["accuracy"])
#model.fit(S_abs[:,:,np.newaxis], X_abs[:,np.newaxis,:], batch_size=50, epochs=50, validation_split=0.1)
#model.fit(X_train, y_train, batch_size=50, epochs=200, validation_split=0.1)
history = model.fit(X_combined, y_combined, batch_size=512, epochs=100)
Epoch 1/100 291/291 [==============================] - 2s 6ms/step - loss: 0.9290 - accuracy: 0.5447 Epoch 2/100 291/291 [==============================] - 2s 6ms/step - loss: 0.8319 - accuracy: 0.6140 Epoch 3/100 291/291 [==============================] - 2s 6ms/step - loss: 0.7943 - accuracy: 0.6409 Epoch 4/100 291/291 [==============================] - 2s 6ms/step - loss: 0.7702 - accuracy: 0.6554 Epoch 5/100 291/291 [==============================] - 2s 6ms/step - loss: 0.7523 - accuracy: 0.6659 Epoch 6/100 291/291 [==============================] - 2s 6ms/step - loss: 0.7443 - accuracy: 0.6708 Epoch 7/100 291/291 [==============================] - 2s 6ms/step - loss: 0.7323 - accuracy: 0.6781 Epoch 8/100 291/291 [==============================] - 2s 6ms/step - loss: 0.7240 - accuracy: 0.6823 Epoch 9/100 291/291 [==============================] - 2s 6ms/step - loss: 0.7179 - accuracy: 0.6856 Epoch 10/100 291/291 [==============================] - 2s 6ms/step - loss: 0.7110 - accuracy: 0.6889 Epoch 11/100 291/291 [==============================] - 2s 6ms/step - loss: 0.7035 - accuracy: 0.6925 Epoch 12/100 291/291 [==============================] - 2s 6ms/step - loss: 0.6969 - accuracy: 0.6965 Epoch 13/100 291/291 [==============================] - 2s 6ms/step - loss: 0.6932 - accuracy: 0.6972 Epoch 14/100 291/291 [==============================] - 2s 6ms/step - loss: 0.6878 - accuracy: 0.7001 Epoch 15/100 291/291 [==============================] - 2s 6ms/step - loss: 0.6816 - accuracy: 0.7035 Epoch 16/100 291/291 [==============================] - 2s 6ms/step - loss: 0.6816 - accuracy: 0.7029 Epoch 17/100 291/291 [==============================] - 2s 6ms/step - loss: 0.6746 - accuracy: 0.7059 Epoch 18/100 291/291 [==============================] - 2s 6ms/step - loss: 0.6727 - accuracy: 0.7071 Epoch 19/100 291/291 [==============================] - 2s 6ms/step - loss: 0.6711 - accuracy: 0.7075 Epoch 20/100 291/291 [==============================] - 2s 6ms/step - loss: 0.6675 - accuracy: 0.7093 Epoch 21/100 291/291 [==============================] - 2s 6ms/step - loss: 0.6622 - accuracy: 0.7117 Epoch 22/100 291/291 [==============================] - 2s 6ms/step - loss: 0.6600 - accuracy: 0.7135 Epoch 23/100 291/291 [==============================] - 2s 6ms/step - loss: 0.6553 - accuracy: 0.7158 Epoch 24/100 291/291 [==============================] - 2s 6ms/step - loss: 0.6513 - accuracy: 0.7180 Epoch 25/100 291/291 [==============================] - 2s 6ms/step - loss: 0.6490 - accuracy: 0.7184 Epoch 26/100 291/291 [==============================] - 2s 6ms/step - loss: 0.6467 - accuracy: 0.7201 Epoch 27/100 291/291 [==============================] - 2s 6ms/step - loss: 0.6431 - accuracy: 0.7229 Epoch 28/100 291/291 [==============================] - 2s 6ms/step - loss: 0.6410 - accuracy: 0.7228 Epoch 29/100 291/291 [==============================] - 2s 6ms/step - loss: 0.6395 - accuracy: 0.7241 Epoch 30/100 291/291 [==============================] - 2s 6ms/step - loss: 0.6348 - accuracy: 0.7256 Epoch 31/100 291/291 [==============================] - 2s 6ms/step - loss: 0.6333 - accuracy: 0.7266 Epoch 32/100 291/291 [==============================] - 2s 6ms/step - loss: 0.6304 - accuracy: 0.7277 Epoch 33/100 291/291 [==============================] - 2s 6ms/step - loss: 0.6312 - accuracy: 0.7279 Epoch 34/100 291/291 [==============================] - 2s 6ms/step - loss: 0.6256 - accuracy: 0.7301 Epoch 35/100 291/291 [==============================] - 2s 6ms/step - loss: 0.6245 - accuracy: 0.7315 Epoch 36/100 291/291 [==============================] - 2s 6ms/step - loss: 0.6229 - accuracy: 0.7318 Epoch 37/100 291/291 [==============================] - 2s 6ms/step - loss: 0.6188 - accuracy: 0.7338 Epoch 38/100 291/291 [==============================] - 2s 6ms/step - loss: 0.6186 - accuracy: 0.7348 Epoch 39/100 291/291 [==============================] - 2s 6ms/step - loss: 0.6157 - accuracy: 0.7361 Epoch 40/100 291/291 [==============================] - 2s 6ms/step - loss: 0.6137 - accuracy: 0.7369 Epoch 41/100 291/291 [==============================] - 2s 6ms/step - loss: 0.6133 - accuracy: 0.7368 Epoch 42/100 291/291 [==============================] - 2s 6ms/step - loss: 0.6090 - accuracy: 0.7389 Epoch 43/100 291/291 [==============================] - 2s 6ms/step - loss: 0.6105 - accuracy: 0.7376 Epoch 44/100 291/291 [==============================] - 2s 6ms/step - loss: 0.6092 - accuracy: 0.7383 Epoch 45/100 291/291 [==============================] - 2s 6ms/step - loss: 0.6062 - accuracy: 0.7400 Epoch 46/100 291/291 [==============================] - 2s 7ms/step - loss: 0.6058 - accuracy: 0.7408 Epoch 47/100 291/291 [==============================] - 2s 7ms/step - loss: 0.6015 - accuracy: 0.7424 Epoch 48/100 291/291 [==============================] - 2s 7ms/step - loss: 0.6025 - accuracy: 0.7424 Epoch 49/100 291/291 [==============================] - 2s 7ms/step - loss: 0.6038 - accuracy: 0.7414 Epoch 50/100 291/291 [==============================] - 2s 6ms/step - loss: 0.6017 - accuracy: 0.7422 Epoch 51/100 291/291 [==============================] - 2s 6ms/step - loss: 0.5994 - accuracy: 0.7437 Epoch 52/100 291/291 [==============================] - 2s 6ms/step - loss: 0.5957 - accuracy: 0.7453 Epoch 53/100 291/291 [==============================] - 2s 6ms/step - loss: 0.5967 - accuracy: 0.7441 Epoch 54/100 291/291 [==============================] - 2s 6ms/step - loss: 0.5939 - accuracy: 0.7456 Epoch 55/100 291/291 [==============================] - 2s 6ms/step - loss: 0.5932 - accuracy: 0.7465 Epoch 56/100 291/291 [==============================] - 2s 6ms/step - loss: 0.5926 - accuracy: 0.7458 Epoch 57/100 291/291 [==============================] - 2s 6ms/step - loss: 0.5922 - accuracy: 0.7465 Epoch 58/100 291/291 [==============================] - 2s 6ms/step - loss: 0.5896 - accuracy: 0.7481 Epoch 59/100 291/291 [==============================] - 2s 6ms/step - loss: 0.5893 - accuracy: 0.7486 Epoch 60/100 291/291 [==============================] - 2s 6ms/step - loss: 0.5873 - accuracy: 0.7505 Epoch 61/100 291/291 [==============================] - 2s 6ms/step - loss: 0.5865 - accuracy: 0.7496 Epoch 62/100 291/291 [==============================] - 2s 6ms/step - loss: 0.5881 - accuracy: 0.7488 Epoch 63/100 291/291 [==============================] - 2s 6ms/step - loss: 0.5843 - accuracy: 0.7502 Epoch 64/100 291/291 [==============================] - 2s 6ms/step - loss: 0.5822 - accuracy: 0.7517 Epoch 65/100 291/291 [==============================] - 2s 6ms/step - loss: 0.5864 - accuracy: 0.7491 Epoch 66/100 291/291 [==============================] - 2s 6ms/step - loss: 0.5810 - accuracy: 0.7530 Epoch 67/100 291/291 [==============================] - 2s 6ms/step - loss: 0.5813 - accuracy: 0.7526 Epoch 68/100 291/291 [==============================] - 2s 6ms/step - loss: 0.5814 - accuracy: 0.7518 Epoch 69/100 291/291 [==============================] - 2s 6ms/step - loss: 0.5825 - accuracy: 0.7519 Epoch 70/100 291/291 [==============================] - 2s 6ms/step - loss: 0.5813 - accuracy: 0.7523 Epoch 71/100 291/291 [==============================] - 2s 6ms/step - loss: 0.5763 - accuracy: 0.7550 Epoch 72/100 291/291 [==============================] - 2s 6ms/step - loss: 0.5807 - accuracy: 0.7532 Epoch 73/100 291/291 [==============================] - 2s 6ms/step - loss: 0.5804 - accuracy: 0.7526 Epoch 74/100 291/291 [==============================] - 2s 6ms/step - loss: 0.5800 - accuracy: 0.7529 Epoch 75/100 291/291 [==============================] - 2s 6ms/step - loss: 0.5789 - accuracy: 0.7533 Epoch 76/100 291/291 [==============================] - 2s 6ms/step - loss: 0.5757 - accuracy: 0.7551 Epoch 77/100 291/291 [==============================] - 2s 6ms/step - loss: 0.5746 - accuracy: 0.7548 Epoch 78/100 291/291 [==============================] - 2s 6ms/step - loss: 0.5734 - accuracy: 0.7552 Epoch 79/100 291/291 [==============================] - 2s 6ms/step - loss: 0.5755 - accuracy: 0.7553 Epoch 80/100 291/291 [==============================] - 2s 6ms/step - loss: 0.5758 - accuracy: 0.7547 Epoch 81/100 291/291 [==============================] - 2s 6ms/step - loss: 0.5703 - accuracy: 0.7578 Epoch 82/100 291/291 [==============================] - 2s 6ms/step - loss: 0.5700 - accuracy: 0.7583 Epoch 83/100 291/291 [==============================] - 2s 6ms/step - loss: 0.5727 - accuracy: 0.7564 Epoch 84/100 291/291 [==============================] - 2s 6ms/step - loss: 0.5723 - accuracy: 0.7567 Epoch 85/100 291/291 [==============================] - 2s 6ms/step - loss: 0.5690 - accuracy: 0.7586 Epoch 86/100 291/291 [==============================] - 2s 6ms/step - loss: 0.5690 - accuracy: 0.7579 Epoch 87/100 291/291 [==============================] - 2s 6ms/step - loss: 0.5671 - accuracy: 0.7601 Epoch 88/100 291/291 [==============================] - 2s 6ms/step - loss: 0.5683 - accuracy: 0.7583 Epoch 89/100 291/291 [==============================] - 2s 6ms/step - loss: 0.5649 - accuracy: 0.7607 Epoch 90/100 291/291 [==============================] - 2s 6ms/step - loss: 0.5680 - accuracy: 0.7586 Epoch 91/100 291/291 [==============================] - 2s 6ms/step - loss: 0.5664 - accuracy: 0.7592 Epoch 92/100 291/291 [==============================] - 2s 6ms/step - loss: 0.5645 - accuracy: 0.7604 Epoch 93/100 291/291 [==============================] - 2s 6ms/step - loss: 0.5667 - accuracy: 0.7596 Epoch 94/100 291/291 [==============================] - 2s 6ms/step - loss: 0.5645 - accuracy: 0.7604 Epoch 95/100 291/291 [==============================] - 2s 6ms/step - loss: 0.5656 - accuracy: 0.7600 Epoch 96/100 291/291 [==============================] - 2s 6ms/step - loss: 0.5654 - accuracy: 0.7604 Epoch 97/100 291/291 [==============================] - 2s 6ms/step - loss: 0.5634 - accuracy: 0.7611 Epoch 98/100 291/291 [==============================] - 2s 6ms/step - loss: 0.5634 - accuracy: 0.7616 Epoch 99/100 291/291 [==============================] - 2s 6ms/step - loss: 0.5624 - accuracy: 0.7616 Epoch 100/100 291/291 [==============================] - 2s 6ms/step - loss: 0.5609 - accuracy: 0.7623
In [ ]:
#Remove last softmax layer
from keras.models import Model
model= Model(inputs=model.input, outputs=model.layers[-2].output)
#Save Keras Weights
#model.save(f"{dir}/problem4_pretext.h5")
#model.save(f"{dir}")
model.save_weights('my_model.h5')
Baseline Data¶
In [ ]:
#Create 2D CNN with 2 hidden layers
shape = (32,32,3) # Define shape of input for Keras model
init = tf.keras.initializers.HeNormal(seed=None)
model = keras.Sequential(
[
tf.keras.layers.Input(shape=shape),
tf.keras.layers.Conv2D(filters=10, kernel_size=(5,5), strides=1, activation='relu'),
tf.keras.layers.MaxPooling2D(pool_size=(2,2), strides=2),
tf.keras.layers.Conv2D(filters=10, kernel_size=(5,5), strides=1, activation='relu'),
tf.keras.layers.MaxPooling2D(pool_size=(2,2), strides=2),
tf.keras.layers.Flatten(),
#tf.keras.layers.Dense(513,activation='relu'),
tf.keras.layers.Dense(20,activation='relu',kernel_initializer=init),
tf.keras.layers.Dense(10, activation='softmax',kernel_initializer=init)
]
)
model.summary()
Model: "sequential_1" _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= conv2d_2 (Conv2D) (None, 28, 28, 10) 760 _________________________________________________________________ max_pooling2d_2 (MaxPooling2 (None, 14, 14, 10) 0 _________________________________________________________________ conv2d_3 (Conv2D) (None, 10, 10, 10) 2510 _________________________________________________________________ max_pooling2d_3 (MaxPooling2 (None, 5, 5, 10) 0 _________________________________________________________________ flatten_1 (Flatten) (None, 250) 0 _________________________________________________________________ dense_2 (Dense) (None, 20) 5020 _________________________________________________________________ dense_3 (Dense) (None, 10) 210 ================================================================= Total params: 8,500 Trainable params: 8,500 Non-trainable params: 0 _________________________________________________________________
In [ ]:
#Compile and fit the model
model.compile(loss="categorical_crossentropy", optimizer="adam", metrics=["accuracy"])
#model.compile(loss="MeanSquaredError", optimizer="adam", metrics=["accuracy"])
#model.fit(S_abs[:,:,np.newaxis], X_abs[:,np.newaxis,:], batch_size=50, epochs=50, validation_split=0.1)
#model.fit(X_train, y_train, batch_size=50, epochs=200, validation_split=0.1)
history2 = model.fit(X_train_500, y_train_500, epochs=10000,batch_size = 32, validation_data=(X_test, y_test)) #batch_size = 512
Streaming output truncated to the last 5000 lines.
16/16 [==============================] - 1s 39ms/step - loss: 2.3711e-05 - accuracy: 1.0000 - val_loss: 14.8031 - val_accuracy: 0.3168
Epoch 7502/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.3511e-05 - accuracy: 1.0000 - val_loss: 14.8054 - val_accuracy: 0.3168
Epoch 7503/10000
16/16 [==============================] - 1s 43ms/step - loss: 2.3334e-05 - accuracy: 1.0000 - val_loss: 14.8084 - val_accuracy: 0.3167
Epoch 7504/10000
16/16 [==============================] - 1s 48ms/step - loss: 2.3157e-05 - accuracy: 1.0000 - val_loss: 14.8108 - val_accuracy: 0.3166
Epoch 7505/10000
16/16 [==============================] - 1s 47ms/step - loss: 2.3005e-05 - accuracy: 1.0000 - val_loss: 14.8131 - val_accuracy: 0.3167
Epoch 7506/10000
16/16 [==============================] - 1s 49ms/step - loss: 2.2835e-05 - accuracy: 1.0000 - val_loss: 14.8157 - val_accuracy: 0.3165
Epoch 7507/10000
16/16 [==============================] - 1s 48ms/step - loss: 2.2679e-05 - accuracy: 1.0000 - val_loss: 14.8188 - val_accuracy: 0.3166
Epoch 7508/10000
16/16 [==============================] - 1s 49ms/step - loss: 2.2520e-05 - accuracy: 1.0000 - val_loss: 14.8208 - val_accuracy: 0.3166
Epoch 7509/10000
16/16 [==============================] - 1s 50ms/step - loss: 2.2353e-05 - accuracy: 1.0000 - val_loss: 14.8240 - val_accuracy: 0.3167
Epoch 7510/10000
16/16 [==============================] - 1s 48ms/step - loss: 2.2176e-05 - accuracy: 1.0000 - val_loss: 14.8265 - val_accuracy: 0.3168
Epoch 7511/10000
16/16 [==============================] - 1s 47ms/step - loss: 2.2020e-05 - accuracy: 1.0000 - val_loss: 14.8290 - val_accuracy: 0.3167
Epoch 7512/10000
16/16 [==============================] - 1s 47ms/step - loss: 2.1861e-05 - accuracy: 1.0000 - val_loss: 14.8315 - val_accuracy: 0.3168
Epoch 7513/10000
16/16 [==============================] - 1s 47ms/step - loss: 2.1702e-05 - accuracy: 1.0000 - val_loss: 14.8341 - val_accuracy: 0.3168
Epoch 7514/10000
16/16 [==============================] - 1s 46ms/step - loss: 2.1548e-05 - accuracy: 1.0000 - val_loss: 14.8375 - val_accuracy: 0.3167
Epoch 7515/10000
16/16 [==============================] - 1s 48ms/step - loss: 2.1387e-05 - accuracy: 1.0000 - val_loss: 14.8396 - val_accuracy: 0.3169
Epoch 7516/10000
16/16 [==============================] - 1s 46ms/step - loss: 2.1253e-05 - accuracy: 1.0000 - val_loss: 14.8424 - val_accuracy: 0.3168
Epoch 7517/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.1104e-05 - accuracy: 1.0000 - val_loss: 14.8448 - val_accuracy: 0.3169
Epoch 7518/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.0957e-05 - accuracy: 1.0000 - val_loss: 14.8481 - val_accuracy: 0.3169
Epoch 7519/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.0797e-05 - accuracy: 1.0000 - val_loss: 14.8505 - val_accuracy: 0.3170
Epoch 7520/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.0664e-05 - accuracy: 1.0000 - val_loss: 14.8530 - val_accuracy: 0.3170
Epoch 7521/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.0485e-05 - accuracy: 1.0000 - val_loss: 14.8558 - val_accuracy: 0.3169
Epoch 7522/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.0360e-05 - accuracy: 1.0000 - val_loss: 14.8578 - val_accuracy: 0.3169
Epoch 7523/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.0231e-05 - accuracy: 1.0000 - val_loss: 14.8608 - val_accuracy: 0.3169
Epoch 7524/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.0056e-05 - accuracy: 1.0000 - val_loss: 14.8641 - val_accuracy: 0.3171
Epoch 7525/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.9914e-05 - accuracy: 1.0000 - val_loss: 14.8662 - val_accuracy: 0.3170
Epoch 7526/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.9788e-05 - accuracy: 1.0000 - val_loss: 14.8685 - val_accuracy: 0.3170
Epoch 7527/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.9656e-05 - accuracy: 1.0000 - val_loss: 14.8711 - val_accuracy: 0.3169
Epoch 7528/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.9522e-05 - accuracy: 1.0000 - val_loss: 14.8737 - val_accuracy: 0.3171
Epoch 7529/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.9369e-05 - accuracy: 1.0000 - val_loss: 14.8764 - val_accuracy: 0.3169
Epoch 7530/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.9248e-05 - accuracy: 1.0000 - val_loss: 14.8792 - val_accuracy: 0.3170
Epoch 7531/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.9101e-05 - accuracy: 1.0000 - val_loss: 14.8820 - val_accuracy: 0.3169
Epoch 7532/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.8987e-05 - accuracy: 1.0000 - val_loss: 14.8837 - val_accuracy: 0.3169
Epoch 7533/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.8879e-05 - accuracy: 1.0000 - val_loss: 14.8870 - val_accuracy: 0.3168
Epoch 7534/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.8730e-05 - accuracy: 1.0000 - val_loss: 14.8891 - val_accuracy: 0.3170
Epoch 7535/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.8581e-05 - accuracy: 1.0000 - val_loss: 14.8921 - val_accuracy: 0.3169
Epoch 7536/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.8468e-05 - accuracy: 1.0000 - val_loss: 14.8944 - val_accuracy: 0.3171
Epoch 7537/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.8316e-05 - accuracy: 1.0000 - val_loss: 14.8976 - val_accuracy: 0.3172
Epoch 7538/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.8183e-05 - accuracy: 1.0000 - val_loss: 14.9005 - val_accuracy: 0.3170
Epoch 7539/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.8046e-05 - accuracy: 1.0000 - val_loss: 14.9027 - val_accuracy: 0.3171
Epoch 7540/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.7913e-05 - accuracy: 1.0000 - val_loss: 14.9052 - val_accuracy: 0.3169
Epoch 7541/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.7785e-05 - accuracy: 1.0000 - val_loss: 14.9076 - val_accuracy: 0.3170
Epoch 7542/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.7649e-05 - accuracy: 1.0000 - val_loss: 14.9104 - val_accuracy: 0.3173
Epoch 7543/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.7537e-05 - accuracy: 1.0000 - val_loss: 14.9127 - val_accuracy: 0.3171
Epoch 7544/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.7413e-05 - accuracy: 1.0000 - val_loss: 14.9160 - val_accuracy: 0.3171
Epoch 7545/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.7283e-05 - accuracy: 1.0000 - val_loss: 14.9191 - val_accuracy: 0.3173
Epoch 7546/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.7151e-05 - accuracy: 1.0000 - val_loss: 14.9212 - val_accuracy: 0.3173
Epoch 7547/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.7032e-05 - accuracy: 1.0000 - val_loss: 14.9245 - val_accuracy: 0.3174
Epoch 7548/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.6906e-05 - accuracy: 1.0000 - val_loss: 14.9270 - val_accuracy: 0.3171
Epoch 7549/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.6789e-05 - accuracy: 1.0000 - val_loss: 14.9297 - val_accuracy: 0.3173
Epoch 7550/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.6666e-05 - accuracy: 1.0000 - val_loss: 14.9322 - val_accuracy: 0.3171
Epoch 7551/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.6545e-05 - accuracy: 1.0000 - val_loss: 14.9349 - val_accuracy: 0.3172
Epoch 7552/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.6432e-05 - accuracy: 1.0000 - val_loss: 14.9371 - val_accuracy: 0.3174
Epoch 7553/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.6322e-05 - accuracy: 1.0000 - val_loss: 14.9402 - val_accuracy: 0.3175
Epoch 7554/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.6204e-05 - accuracy: 1.0000 - val_loss: 14.9431 - val_accuracy: 0.3173
Epoch 7555/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.6084e-05 - accuracy: 1.0000 - val_loss: 14.9458 - val_accuracy: 0.3177
Epoch 7556/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.5963e-05 - accuracy: 1.0000 - val_loss: 14.9485 - val_accuracy: 0.3175
Epoch 7557/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.5844e-05 - accuracy: 1.0000 - val_loss: 14.9510 - val_accuracy: 0.3175
Epoch 7558/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.5743e-05 - accuracy: 1.0000 - val_loss: 14.9542 - val_accuracy: 0.3179
Epoch 7559/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.5628e-05 - accuracy: 1.0000 - val_loss: 14.9571 - val_accuracy: 0.3177
Epoch 7560/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.5526e-05 - accuracy: 1.0000 - val_loss: 14.9593 - val_accuracy: 0.3177
Epoch 7561/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.5401e-05 - accuracy: 1.0000 - val_loss: 14.9625 - val_accuracy: 0.3175
Epoch 7562/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.5307e-05 - accuracy: 1.0000 - val_loss: 14.9646 - val_accuracy: 0.3176
Epoch 7563/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.5177e-05 - accuracy: 1.0000 - val_loss: 14.9674 - val_accuracy: 0.3175
Epoch 7564/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.5066e-05 - accuracy: 1.0000 - val_loss: 14.9703 - val_accuracy: 0.3178
Epoch 7565/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.4980e-05 - accuracy: 1.0000 - val_loss: 14.9726 - val_accuracy: 0.3178
Epoch 7566/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.4857e-05 - accuracy: 1.0000 - val_loss: 14.9752 - val_accuracy: 0.3177
Epoch 7567/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.4753e-05 - accuracy: 1.0000 - val_loss: 14.9780 - val_accuracy: 0.3177
Epoch 7568/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.4647e-05 - accuracy: 1.0000 - val_loss: 14.9806 - val_accuracy: 0.3178
Epoch 7569/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.4562e-05 - accuracy: 1.0000 - val_loss: 14.9837 - val_accuracy: 0.3176
Epoch 7570/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.4479e-05 - accuracy: 1.0000 - val_loss: 14.9858 - val_accuracy: 0.3175
Epoch 7571/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.4357e-05 - accuracy: 1.0000 - val_loss: 14.9877 - val_accuracy: 0.3175
Epoch 7572/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.4239e-05 - accuracy: 1.0000 - val_loss: 14.9915 - val_accuracy: 0.3176
Epoch 7573/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.4140e-05 - accuracy: 1.0000 - val_loss: 14.9937 - val_accuracy: 0.3175
Epoch 7574/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.4048e-05 - accuracy: 1.0000 - val_loss: 14.9968 - val_accuracy: 0.3173
Epoch 7575/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.3944e-05 - accuracy: 1.0000 - val_loss: 14.9996 - val_accuracy: 0.3175
Epoch 7576/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.3847e-05 - accuracy: 1.0000 - val_loss: 15.0026 - val_accuracy: 0.3171
Epoch 7577/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.3755e-05 - accuracy: 1.0000 - val_loss: 15.0043 - val_accuracy: 0.3175
Epoch 7578/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.3655e-05 - accuracy: 1.0000 - val_loss: 15.0076 - val_accuracy: 0.3173
Epoch 7579/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.3562e-05 - accuracy: 1.0000 - val_loss: 15.0098 - val_accuracy: 0.3175
Epoch 7580/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.3453e-05 - accuracy: 1.0000 - val_loss: 15.0125 - val_accuracy: 0.3172
Epoch 7581/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.3362e-05 - accuracy: 1.0000 - val_loss: 15.0153 - val_accuracy: 0.3173
Epoch 7582/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.3278e-05 - accuracy: 1.0000 - val_loss: 15.0176 - val_accuracy: 0.3174
Epoch 7583/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.3177e-05 - accuracy: 1.0000 - val_loss: 15.0204 - val_accuracy: 0.3173
Epoch 7584/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.3098e-05 - accuracy: 1.0000 - val_loss: 15.0239 - val_accuracy: 0.3173
Epoch 7585/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.3000e-05 - accuracy: 1.0000 - val_loss: 15.0262 - val_accuracy: 0.3173
Epoch 7586/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.2912e-05 - accuracy: 1.0000 - val_loss: 15.0296 - val_accuracy: 0.3172
Epoch 7587/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.2808e-05 - accuracy: 1.0000 - val_loss: 15.0317 - val_accuracy: 0.3174
Epoch 7588/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.2721e-05 - accuracy: 1.0000 - val_loss: 15.0343 - val_accuracy: 0.3173
Epoch 7589/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.2649e-05 - accuracy: 1.0000 - val_loss: 15.0371 - val_accuracy: 0.3173
Epoch 7590/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.2557e-05 - accuracy: 1.0000 - val_loss: 15.0406 - val_accuracy: 0.3173
Epoch 7591/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.2459e-05 - accuracy: 1.0000 - val_loss: 15.0426 - val_accuracy: 0.3174
Epoch 7592/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.2377e-05 - accuracy: 1.0000 - val_loss: 15.0445 - val_accuracy: 0.3174
Epoch 7593/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.2293e-05 - accuracy: 1.0000 - val_loss: 15.0485 - val_accuracy: 0.3173
Epoch 7594/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.2210e-05 - accuracy: 1.0000 - val_loss: 15.0510 - val_accuracy: 0.3175
Epoch 7595/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.2119e-05 - accuracy: 1.0000 - val_loss: 15.0532 - val_accuracy: 0.3173
Epoch 7596/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.2032e-05 - accuracy: 1.0000 - val_loss: 15.0561 - val_accuracy: 0.3174
Epoch 7597/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.1943e-05 - accuracy: 1.0000 - val_loss: 15.0591 - val_accuracy: 0.3172
Epoch 7598/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.1855e-05 - accuracy: 1.0000 - val_loss: 15.0621 - val_accuracy: 0.3173
Epoch 7599/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.1775e-05 - accuracy: 1.0000 - val_loss: 15.0654 - val_accuracy: 0.3172
Epoch 7600/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.1701e-05 - accuracy: 1.0000 - val_loss: 15.0678 - val_accuracy: 0.3177
Epoch 7601/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.1597e-05 - accuracy: 1.0000 - val_loss: 15.0701 - val_accuracy: 0.3174
Epoch 7602/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.1510e-05 - accuracy: 1.0000 - val_loss: 15.0733 - val_accuracy: 0.3174
Epoch 7603/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.1427e-05 - accuracy: 1.0000 - val_loss: 15.0767 - val_accuracy: 0.3175
Epoch 7604/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.1355e-05 - accuracy: 1.0000 - val_loss: 15.0795 - val_accuracy: 0.3175
Epoch 7605/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.1277e-05 - accuracy: 1.0000 - val_loss: 15.0813 - val_accuracy: 0.3176
Epoch 7606/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.1194e-05 - accuracy: 1.0000 - val_loss: 15.0849 - val_accuracy: 0.3176
Epoch 7607/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.1112e-05 - accuracy: 1.0000 - val_loss: 15.0884 - val_accuracy: 0.3178
Epoch 7608/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.1037e-05 - accuracy: 1.0000 - val_loss: 15.0904 - val_accuracy: 0.3178
Epoch 7609/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0939e-05 - accuracy: 1.0000 - val_loss: 15.0929 - val_accuracy: 0.3177
Epoch 7610/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.0874e-05 - accuracy: 1.0000 - val_loss: 15.0960 - val_accuracy: 0.3179
Epoch 7611/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0796e-05 - accuracy: 1.0000 - val_loss: 15.0986 - val_accuracy: 0.3179
Epoch 7612/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.0717e-05 - accuracy: 1.0000 - val_loss: 15.1015 - val_accuracy: 0.3178
Epoch 7613/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0648e-05 - accuracy: 1.0000 - val_loss: 15.1053 - val_accuracy: 0.3178
Epoch 7614/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.0564e-05 - accuracy: 1.0000 - val_loss: 15.1079 - val_accuracy: 0.3178
Epoch 7615/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.0489e-05 - accuracy: 1.0000 - val_loss: 15.1108 - val_accuracy: 0.3179
Epoch 7616/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.0412e-05 - accuracy: 1.0000 - val_loss: 15.1129 - val_accuracy: 0.3177
Epoch 7617/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0342e-05 - accuracy: 1.0000 - val_loss: 15.1160 - val_accuracy: 0.3178
Epoch 7618/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.0277e-05 - accuracy: 1.0000 - val_loss: 15.1197 - val_accuracy: 0.3178
Epoch 7619/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.0193e-05 - accuracy: 1.0000 - val_loss: 15.1223 - val_accuracy: 0.3177
Epoch 7620/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0115e-05 - accuracy: 1.0000 - val_loss: 15.1245 - val_accuracy: 0.3177
Epoch 7621/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.0042e-05 - accuracy: 1.0000 - val_loss: 15.1280 - val_accuracy: 0.3178
Epoch 7622/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.9840e-06 - accuracy: 1.0000 - val_loss: 15.1303 - val_accuracy: 0.3176
Epoch 7623/10000
16/16 [==============================] - 1s 41ms/step - loss: 9.8975e-06 - accuracy: 1.0000 - val_loss: 15.1333 - val_accuracy: 0.3178
Epoch 7624/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.8288e-06 - accuracy: 1.0000 - val_loss: 15.1353 - val_accuracy: 0.3178
Epoch 7625/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.7594e-06 - accuracy: 1.0000 - val_loss: 15.1382 - val_accuracy: 0.3180
Epoch 7626/10000
16/16 [==============================] - 1s 42ms/step - loss: 9.6803e-06 - accuracy: 1.0000 - val_loss: 15.1425 - val_accuracy: 0.3178
Epoch 7627/10000
16/16 [==============================] - 1s 41ms/step - loss: 9.6219e-06 - accuracy: 1.0000 - val_loss: 15.1452 - val_accuracy: 0.3176
Epoch 7628/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.5449e-06 - accuracy: 1.0000 - val_loss: 15.1482 - val_accuracy: 0.3177
Epoch 7629/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.4757e-06 - accuracy: 1.0000 - val_loss: 15.1507 - val_accuracy: 0.3178
Epoch 7630/10000
16/16 [==============================] - 1s 42ms/step - loss: 9.4142e-06 - accuracy: 1.0000 - val_loss: 15.1536 - val_accuracy: 0.3178
Epoch 7631/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.3446e-06 - accuracy: 1.0000 - val_loss: 15.1567 - val_accuracy: 0.3180
Epoch 7632/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.2759e-06 - accuracy: 1.0000 - val_loss: 15.1595 - val_accuracy: 0.3180
Epoch 7633/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.2001e-06 - accuracy: 1.0000 - val_loss: 15.1625 - val_accuracy: 0.3178
Epoch 7634/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.1341e-06 - accuracy: 1.0000 - val_loss: 15.1658 - val_accuracy: 0.3179
Epoch 7635/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.0735e-06 - accuracy: 1.0000 - val_loss: 15.1683 - val_accuracy: 0.3180
Epoch 7636/10000
16/16 [==============================] - 1s 41ms/step - loss: 9.0070e-06 - accuracy: 1.0000 - val_loss: 15.1713 - val_accuracy: 0.3181
Epoch 7637/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.9398e-06 - accuracy: 1.0000 - val_loss: 15.1741 - val_accuracy: 0.3181
Epoch 7638/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.8764e-06 - accuracy: 1.0000 - val_loss: 15.1774 - val_accuracy: 0.3181
Epoch 7639/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.8172e-06 - accuracy: 1.0000 - val_loss: 15.1799 - val_accuracy: 0.3182
Epoch 7640/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.7495e-06 - accuracy: 1.0000 - val_loss: 15.1836 - val_accuracy: 0.3182
Epoch 7641/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.6914e-06 - accuracy: 1.0000 - val_loss: 15.1856 - val_accuracy: 0.3185
Epoch 7642/10000
16/16 [==============================] - 1s 42ms/step - loss: 8.6203e-06 - accuracy: 1.0000 - val_loss: 15.1881 - val_accuracy: 0.3184
Epoch 7643/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.5612e-06 - accuracy: 1.0000 - val_loss: 15.1922 - val_accuracy: 0.3183
Epoch 7644/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.4985e-06 - accuracy: 1.0000 - val_loss: 15.1954 - val_accuracy: 0.3184
Epoch 7645/10000
16/16 [==============================] - 1s 41ms/step - loss: 8.4291e-06 - accuracy: 1.0000 - val_loss: 15.1987 - val_accuracy: 0.3184
Epoch 7646/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.3700e-06 - accuracy: 1.0000 - val_loss: 15.2017 - val_accuracy: 0.3185
Epoch 7647/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.3092e-06 - accuracy: 1.0000 - val_loss: 15.2051 - val_accuracy: 0.3183
Epoch 7648/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.2458e-06 - accuracy: 1.0000 - val_loss: 15.2077 - val_accuracy: 0.3183
Epoch 7649/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.1878e-06 - accuracy: 1.0000 - val_loss: 15.2107 - val_accuracy: 0.3184
Epoch 7650/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.1280e-06 - accuracy: 1.0000 - val_loss: 15.2138 - val_accuracy: 0.3187
Epoch 7651/10000
16/16 [==============================] - 1s 41ms/step - loss: 8.0612e-06 - accuracy: 1.0000 - val_loss: 15.2173 - val_accuracy: 0.3186
Epoch 7652/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.0102e-06 - accuracy: 1.0000 - val_loss: 15.2197 - val_accuracy: 0.3183
Epoch 7653/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.9516e-06 - accuracy: 1.0000 - val_loss: 15.2228 - val_accuracy: 0.3183
Epoch 7654/10000
16/16 [==============================] - 1s 42ms/step - loss: 7.8963e-06 - accuracy: 1.0000 - val_loss: 15.2253 - val_accuracy: 0.3181
Epoch 7655/10000
16/16 [==============================] - 1s 41ms/step - loss: 7.8355e-06 - accuracy: 1.0000 - val_loss: 15.2279 - val_accuracy: 0.3182
Epoch 7656/10000
16/16 [==============================] - 1s 41ms/step - loss: 7.7854e-06 - accuracy: 1.0000 - val_loss: 15.2308 - val_accuracy: 0.3184
Epoch 7657/10000
16/16 [==============================] - 1s 41ms/step - loss: 7.7170e-06 - accuracy: 1.0000 - val_loss: 15.2349 - val_accuracy: 0.3182
Epoch 7658/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.6543e-06 - accuracy: 1.0000 - val_loss: 15.2374 - val_accuracy: 0.3181
Epoch 7659/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.6030e-06 - accuracy: 1.0000 - val_loss: 15.2406 - val_accuracy: 0.3182
Epoch 7660/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.5434e-06 - accuracy: 1.0000 - val_loss: 15.2435 - val_accuracy: 0.3181
Epoch 7661/10000
16/16 [==============================] - 1s 42ms/step - loss: 7.4905e-06 - accuracy: 1.0000 - val_loss: 15.2466 - val_accuracy: 0.3183
Epoch 7662/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.4283e-06 - accuracy: 1.0000 - val_loss: 15.2492 - val_accuracy: 0.3182
Epoch 7663/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.3782e-06 - accuracy: 1.0000 - val_loss: 15.2519 - val_accuracy: 0.3181
Epoch 7664/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.3224e-06 - accuracy: 1.0000 - val_loss: 15.2554 - val_accuracy: 0.3182
Epoch 7665/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.2750e-06 - accuracy: 1.0000 - val_loss: 15.2587 - val_accuracy: 0.3182
Epoch 7666/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.2075e-06 - accuracy: 1.0000 - val_loss: 15.2621 - val_accuracy: 0.3182
Epoch 7667/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.1593e-06 - accuracy: 1.0000 - val_loss: 15.2650 - val_accuracy: 0.3179
Epoch 7668/10000
16/16 [==============================] - 1s 41ms/step - loss: 7.1098e-06 - accuracy: 1.0000 - val_loss: 15.2688 - val_accuracy: 0.3183
Epoch 7669/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.0463e-06 - accuracy: 1.0000 - val_loss: 15.2717 - val_accuracy: 0.3181
Epoch 7670/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.0022e-06 - accuracy: 1.0000 - val_loss: 15.2744 - val_accuracy: 0.3180
Epoch 7671/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.9457e-06 - accuracy: 1.0000 - val_loss: 15.2779 - val_accuracy: 0.3180
Epoch 7672/10000
16/16 [==============================] - 1s 41ms/step - loss: 6.8873e-06 - accuracy: 1.0000 - val_loss: 15.2816 - val_accuracy: 0.3179
Epoch 7673/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.8384e-06 - accuracy: 1.0000 - val_loss: 15.2848 - val_accuracy: 0.3179
Epoch 7674/10000
16/16 [==============================] - 1s 42ms/step - loss: 6.7827e-06 - accuracy: 1.0000 - val_loss: 15.2873 - val_accuracy: 0.3180
Epoch 7675/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.7333e-06 - accuracy: 1.0000 - val_loss: 15.2905 - val_accuracy: 0.3179
Epoch 7676/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.6911e-06 - accuracy: 1.0000 - val_loss: 15.2931 - val_accuracy: 0.3182
Epoch 7677/10000
16/16 [==============================] - 1s 41ms/step - loss: 6.6346e-06 - accuracy: 1.0000 - val_loss: 15.2968 - val_accuracy: 0.3180
Epoch 7678/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.5831e-06 - accuracy: 1.0000 - val_loss: 15.3001 - val_accuracy: 0.3181
Epoch 7679/10000
16/16 [==============================] - 1s 41ms/step - loss: 6.5285e-06 - accuracy: 1.0000 - val_loss: 15.3032 - val_accuracy: 0.3178
Epoch 7680/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.4875e-06 - accuracy: 1.0000 - val_loss: 15.3071 - val_accuracy: 0.3181
Epoch 7681/10000
16/16 [==============================] - 1s 41ms/step - loss: 6.4382e-06 - accuracy: 1.0000 - val_loss: 15.3105 - val_accuracy: 0.3180
Epoch 7682/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.3828e-06 - accuracy: 1.0000 - val_loss: 15.3138 - val_accuracy: 0.3178
Epoch 7683/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.3356e-06 - accuracy: 1.0000 - val_loss: 15.3156 - val_accuracy: 0.3183
Epoch 7684/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.2946e-06 - accuracy: 1.0000 - val_loss: 15.3191 - val_accuracy: 0.3183
Epoch 7685/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.2434e-06 - accuracy: 1.0000 - val_loss: 15.3232 - val_accuracy: 0.3180
Epoch 7686/10000
16/16 [==============================] - 1s 41ms/step - loss: 6.2036e-06 - accuracy: 1.0000 - val_loss: 15.3257 - val_accuracy: 0.3180
Epoch 7687/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.1468e-06 - accuracy: 1.0000 - val_loss: 15.3283 - val_accuracy: 0.3180
Epoch 7688/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.1080e-06 - accuracy: 1.0000 - val_loss: 15.3320 - val_accuracy: 0.3182
Epoch 7689/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.0546e-06 - accuracy: 1.0000 - val_loss: 15.3360 - val_accuracy: 0.3180
Epoch 7690/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.0140e-06 - accuracy: 1.0000 - val_loss: 15.3398 - val_accuracy: 0.3180
Epoch 7691/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.9704e-06 - accuracy: 1.0000 - val_loss: 15.3423 - val_accuracy: 0.3179
Epoch 7692/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.9349e-06 - accuracy: 1.0000 - val_loss: 15.3455 - val_accuracy: 0.3178
Epoch 7693/10000
16/16 [==============================] - 1s 41ms/step - loss: 5.8812e-06 - accuracy: 1.0000 - val_loss: 15.3489 - val_accuracy: 0.3180
Epoch 7694/10000
16/16 [==============================] - 1s 41ms/step - loss: 5.8376e-06 - accuracy: 1.0000 - val_loss: 15.3525 - val_accuracy: 0.3179
Epoch 7695/10000
16/16 [==============================] - 1s 44ms/step - loss: 5.7966e-06 - accuracy: 1.0000 - val_loss: 15.3550 - val_accuracy: 0.3180
Epoch 7696/10000
16/16 [==============================] - 1s 44ms/step - loss: 5.7484e-06 - accuracy: 1.0000 - val_loss: 15.3583 - val_accuracy: 0.3179
Epoch 7697/10000
16/16 [==============================] - 1s 45ms/step - loss: 5.7017e-06 - accuracy: 1.0000 - val_loss: 15.3624 - val_accuracy: 0.3179
Epoch 7698/10000
16/16 [==============================] - 1s 43ms/step - loss: 5.6595e-06 - accuracy: 1.0000 - val_loss: 15.3648 - val_accuracy: 0.3179
Epoch 7699/10000
16/16 [==============================] - 1s 45ms/step - loss: 5.6209e-06 - accuracy: 1.0000 - val_loss: 15.3684 - val_accuracy: 0.3179
Epoch 7700/10000
16/16 [==============================] - 1s 44ms/step - loss: 5.5761e-06 - accuracy: 1.0000 - val_loss: 15.3721 - val_accuracy: 0.3179
Epoch 7701/10000
16/16 [==============================] - 1s 45ms/step - loss: 5.5334e-06 - accuracy: 1.0000 - val_loss: 15.3748 - val_accuracy: 0.3177
Epoch 7702/10000
16/16 [==============================] - 1s 41ms/step - loss: 5.4929e-06 - accuracy: 1.0000 - val_loss: 15.3787 - val_accuracy: 0.3178
Epoch 7703/10000
16/16 [==============================] - 1s 41ms/step - loss: 5.4480e-06 - accuracy: 1.0000 - val_loss: 15.3817 - val_accuracy: 0.3177
Epoch 7704/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.4142e-06 - accuracy: 1.0000 - val_loss: 15.3848 - val_accuracy: 0.3176
Epoch 7705/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.3760e-06 - accuracy: 1.0000 - val_loss: 15.3878 - val_accuracy: 0.3176
Epoch 7706/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.3293e-06 - accuracy: 1.0000 - val_loss: 15.3908 - val_accuracy: 0.3174
Epoch 7707/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.2847e-06 - accuracy: 1.0000 - val_loss: 15.3940 - val_accuracy: 0.3174
Epoch 7708/10000
16/16 [==============================] - 1s 38ms/step - loss: 5.2490e-06 - accuracy: 1.0000 - val_loss: 15.3983 - val_accuracy: 0.3175
Epoch 7709/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.2120e-06 - accuracy: 1.0000 - val_loss: 15.4017 - val_accuracy: 0.3174
Epoch 7710/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.1698e-06 - accuracy: 1.0000 - val_loss: 15.4044 - val_accuracy: 0.3174
Epoch 7711/10000
16/16 [==============================] - 1s 41ms/step - loss: 5.1264e-06 - accuracy: 1.0000 - val_loss: 15.4074 - val_accuracy: 0.3174
Epoch 7712/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.0976e-06 - accuracy: 1.0000 - val_loss: 15.4108 - val_accuracy: 0.3173
Epoch 7713/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.0558e-06 - accuracy: 1.0000 - val_loss: 15.4138 - val_accuracy: 0.3174
Epoch 7714/10000
16/16 [==============================] - 1s 41ms/step - loss: 5.0248e-06 - accuracy: 1.0000 - val_loss: 15.4170 - val_accuracy: 0.3173
Epoch 7715/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.9807e-06 - accuracy: 1.0000 - val_loss: 15.4202 - val_accuracy: 0.3173
Epoch 7716/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.9509e-06 - accuracy: 1.0000 - val_loss: 15.4231 - val_accuracy: 0.3172
Epoch 7717/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.9116e-06 - accuracy: 1.0000 - val_loss: 15.4255 - val_accuracy: 0.3171
Epoch 7718/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.8746e-06 - accuracy: 1.0000 - val_loss: 15.4288 - val_accuracy: 0.3171
Epoch 7719/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.8375e-06 - accuracy: 1.0000 - val_loss: 15.4319 - val_accuracy: 0.3169
Epoch 7720/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.8069e-06 - accuracy: 1.0000 - val_loss: 15.4353 - val_accuracy: 0.3170
Epoch 7721/10000
16/16 [==============================] - 1s 41ms/step - loss: 4.7712e-06 - accuracy: 1.0000 - val_loss: 15.4374 - val_accuracy: 0.3169
Epoch 7722/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.7380e-06 - accuracy: 1.0000 - val_loss: 15.4412 - val_accuracy: 0.3169
Epoch 7723/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.7020e-06 - accuracy: 1.0000 - val_loss: 15.4454 - val_accuracy: 0.3170
Epoch 7724/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.6722e-06 - accuracy: 1.0000 - val_loss: 15.4478 - val_accuracy: 0.3171
Epoch 7725/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.6384e-06 - accuracy: 1.0000 - val_loss: 15.4514 - val_accuracy: 0.3170
Epoch 7726/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.6000e-06 - accuracy: 1.0000 - val_loss: 15.4544 - val_accuracy: 0.3170
Epoch 7727/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.5707e-06 - accuracy: 1.0000 - val_loss: 15.4568 - val_accuracy: 0.3172
Epoch 7728/10000
16/16 [==============================] - 1s 38ms/step - loss: 4.5390e-06 - accuracy: 1.0000 - val_loss: 15.4604 - val_accuracy: 0.3172
Epoch 7729/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.5027e-06 - accuracy: 1.0000 - val_loss: 15.4635 - val_accuracy: 0.3171
Epoch 7730/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.4682e-06 - accuracy: 1.0000 - val_loss: 15.4661 - val_accuracy: 0.3171
Epoch 7731/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.4391e-06 - accuracy: 1.0000 - val_loss: 15.4693 - val_accuracy: 0.3169
Epoch 7732/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.4074e-06 - accuracy: 1.0000 - val_loss: 15.4725 - val_accuracy: 0.3170
Epoch 7733/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.3807e-06 - accuracy: 1.0000 - val_loss: 15.4754 - val_accuracy: 0.3171
Epoch 7734/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.3501e-06 - accuracy: 1.0000 - val_loss: 15.4786 - val_accuracy: 0.3171
Epoch 7735/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.3194e-06 - accuracy: 1.0000 - val_loss: 15.4813 - val_accuracy: 0.3170
Epoch 7736/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.2848e-06 - accuracy: 1.0000 - val_loss: 15.4838 - val_accuracy: 0.3171
Epoch 7737/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.2557e-06 - accuracy: 1.0000 - val_loss: 15.4880 - val_accuracy: 0.3172
Epoch 7738/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.2209e-06 - accuracy: 1.0000 - val_loss: 15.4913 - val_accuracy: 0.3173
Epoch 7739/10000
16/16 [==============================] - 1s 41ms/step - loss: 4.1952e-06 - accuracy: 1.0000 - val_loss: 15.4944 - val_accuracy: 0.3174
Epoch 7740/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.1635e-06 - accuracy: 1.0000 - val_loss: 15.4968 - val_accuracy: 0.3171
Epoch 7741/10000
16/16 [==============================] - 1s 41ms/step - loss: 4.1325e-06 - accuracy: 1.0000 - val_loss: 15.4996 - val_accuracy: 0.3172
Epoch 7742/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.1008e-06 - accuracy: 1.0000 - val_loss: 15.5030 - val_accuracy: 0.3174
Epoch 7743/10000
16/16 [==============================] - 1s 41ms/step - loss: 4.0755e-06 - accuracy: 1.0000 - val_loss: 15.5060 - val_accuracy: 0.3173
Epoch 7744/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.0531e-06 - accuracy: 1.0000 - val_loss: 15.5093 - val_accuracy: 0.3172
Epoch 7745/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.0180e-06 - accuracy: 1.0000 - val_loss: 15.5120 - val_accuracy: 0.3171
Epoch 7746/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.9944e-06 - accuracy: 1.0000 - val_loss: 15.5155 - val_accuracy: 0.3172
Epoch 7747/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.9627e-06 - accuracy: 1.0000 - val_loss: 15.5193 - val_accuracy: 0.3171
Epoch 7748/10000
16/16 [==============================] - 1s 38ms/step - loss: 3.9353e-06 - accuracy: 1.0000 - val_loss: 15.5220 - val_accuracy: 0.3170
Epoch 7749/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.9041e-06 - accuracy: 1.0000 - val_loss: 15.5255 - val_accuracy: 0.3172
Epoch 7750/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.8764e-06 - accuracy: 1.0000 - val_loss: 15.5284 - val_accuracy: 0.3170
Epoch 7751/10000
16/16 [==============================] - 1s 38ms/step - loss: 3.8473e-06 - accuracy: 1.0000 - val_loss: 15.5320 - val_accuracy: 0.3172
Epoch 7752/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.8235e-06 - accuracy: 1.0000 - val_loss: 15.5344 - val_accuracy: 0.3170
Epoch 7753/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.7925e-06 - accuracy: 1.0000 - val_loss: 15.5376 - val_accuracy: 0.3172
Epoch 7754/10000
16/16 [==============================] - 1s 38ms/step - loss: 3.7620e-06 - accuracy: 1.0000 - val_loss: 15.5409 - val_accuracy: 0.3172
Epoch 7755/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.7381e-06 - accuracy: 1.0000 - val_loss: 15.5442 - val_accuracy: 0.3176
Epoch 7756/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.7079e-06 - accuracy: 1.0000 - val_loss: 15.5477 - val_accuracy: 0.3176
Epoch 7757/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.6802e-06 - accuracy: 1.0000 - val_loss: 15.5510 - val_accuracy: 0.3175
Epoch 7758/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.6537e-06 - accuracy: 1.0000 - val_loss: 15.5550 - val_accuracy: 0.3175
Epoch 7759/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.6285e-06 - accuracy: 1.0000 - val_loss: 15.5584 - val_accuracy: 0.3177
Epoch 7760/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.5956e-06 - accuracy: 1.0000 - val_loss: 15.5620 - val_accuracy: 0.3176
Epoch 7761/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.5655e-06 - accuracy: 1.0000 - val_loss: 15.5658 - val_accuracy: 0.3175
Epoch 7762/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.5400e-06 - accuracy: 1.0000 - val_loss: 15.5688 - val_accuracy: 0.3173
Epoch 7763/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.5109e-06 - accuracy: 1.0000 - val_loss: 15.5721 - val_accuracy: 0.3173
Epoch 7764/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.4871e-06 - accuracy: 1.0000 - val_loss: 15.5763 - val_accuracy: 0.3173
Epoch 7765/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.4575e-06 - accuracy: 1.0000 - val_loss: 15.5791 - val_accuracy: 0.3174
Epoch 7766/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.4330e-06 - accuracy: 1.0000 - val_loss: 15.5827 - val_accuracy: 0.3173
Epoch 7767/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.4036e-06 - accuracy: 1.0000 - val_loss: 15.5856 - val_accuracy: 0.3174
Epoch 7768/10000
16/16 [==============================] - 1s 38ms/step - loss: 3.3781e-06 - accuracy: 1.0000 - val_loss: 15.5889 - val_accuracy: 0.3174
Epoch 7769/10000
16/16 [==============================] - 1s 38ms/step - loss: 3.3495e-06 - accuracy: 1.0000 - val_loss: 15.5932 - val_accuracy: 0.3173
Epoch 7770/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.3302e-06 - accuracy: 1.0000 - val_loss: 15.5954 - val_accuracy: 0.3174
Epoch 7771/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.3018e-06 - accuracy: 1.0000 - val_loss: 15.5998 - val_accuracy: 0.3174
Epoch 7772/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.2837e-06 - accuracy: 1.0000 - val_loss: 15.6029 - val_accuracy: 0.3174
Epoch 7773/10000
16/16 [==============================] - 1s 38ms/step - loss: 3.2637e-06 - accuracy: 1.0000 - val_loss: 15.6060 - val_accuracy: 0.3174
Epoch 7774/10000
16/16 [==============================] - 1s 43ms/step - loss: 3.2301e-06 - accuracy: 1.0000 - val_loss: 15.6103 - val_accuracy: 0.3174
Epoch 7775/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.2036e-06 - accuracy: 1.0000 - val_loss: 15.6133 - val_accuracy: 0.3175
Epoch 7776/10000
16/16 [==============================] - 1s 41ms/step - loss: 3.1788e-06 - accuracy: 1.0000 - val_loss: 15.6166 - val_accuracy: 0.3176
Epoch 7777/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.1552e-06 - accuracy: 1.0000 - val_loss: 15.6201 - val_accuracy: 0.3175
Epoch 7778/10000
16/16 [==============================] - 1s 42ms/step - loss: 3.1330e-06 - accuracy: 1.0000 - val_loss: 15.6240 - val_accuracy: 0.3176
Epoch 7779/10000
16/16 [==============================] - 1s 41ms/step - loss: 3.1101e-06 - accuracy: 1.0000 - val_loss: 15.6267 - val_accuracy: 0.3176
Epoch 7780/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.0920e-06 - accuracy: 1.0000 - val_loss: 15.6296 - val_accuracy: 0.3176
Epoch 7781/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.0660e-06 - accuracy: 1.0000 - val_loss: 15.6333 - val_accuracy: 0.3176
Epoch 7782/10000
16/16 [==============================] - 1s 41ms/step - loss: 3.0446e-06 - accuracy: 1.0000 - val_loss: 15.6367 - val_accuracy: 0.3174
Epoch 7783/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.0179e-06 - accuracy: 1.0000 - val_loss: 15.6387 - val_accuracy: 0.3177
Epoch 7784/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.9948e-06 - accuracy: 1.0000 - val_loss: 15.6424 - val_accuracy: 0.3175
Epoch 7785/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.9728e-06 - accuracy: 1.0000 - val_loss: 15.6460 - val_accuracy: 0.3175
Epoch 7786/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.9523e-06 - accuracy: 1.0000 - val_loss: 15.6495 - val_accuracy: 0.3177
Epoch 7787/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.9263e-06 - accuracy: 1.0000 - val_loss: 15.6530 - val_accuracy: 0.3175
Epoch 7788/10000
16/16 [==============================] - 1s 42ms/step - loss: 2.9046e-06 - accuracy: 1.0000 - val_loss: 15.6565 - val_accuracy: 0.3175
Epoch 7789/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.8860e-06 - accuracy: 1.0000 - val_loss: 15.6595 - val_accuracy: 0.3176
Epoch 7790/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.8620e-06 - accuracy: 1.0000 - val_loss: 15.6622 - val_accuracy: 0.3176
Epoch 7791/10000
16/16 [==============================] - 1s 42ms/step - loss: 2.8460e-06 - accuracy: 1.0000 - val_loss: 15.6654 - val_accuracy: 0.3173
Epoch 7792/10000
16/16 [==============================] - 1s 44ms/step - loss: 2.8248e-06 - accuracy: 1.0000 - val_loss: 15.6691 - val_accuracy: 0.3174
Epoch 7793/10000
16/16 [==============================] - 1s 43ms/step - loss: 2.8031e-06 - accuracy: 1.0000 - val_loss: 15.6724 - val_accuracy: 0.3171
Epoch 7794/10000
16/16 [==============================] - 1s 42ms/step - loss: 2.7811e-06 - accuracy: 1.0000 - val_loss: 15.6764 - val_accuracy: 0.3174
Epoch 7795/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.7594e-06 - accuracy: 1.0000 - val_loss: 15.6789 - val_accuracy: 0.3173
Epoch 7796/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.7413e-06 - accuracy: 1.0000 - val_loss: 15.6823 - val_accuracy: 0.3174
Epoch 7797/10000
16/16 [==============================] - 1s 43ms/step - loss: 2.7172e-06 - accuracy: 1.0000 - val_loss: 15.6866 - val_accuracy: 0.3175
Epoch 7798/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.7010e-06 - accuracy: 1.0000 - val_loss: 15.6897 - val_accuracy: 0.3173
Epoch 7799/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.6824e-06 - accuracy: 1.0000 - val_loss: 15.6922 - val_accuracy: 0.3174
Epoch 7800/10000
16/16 [==============================] - 1s 42ms/step - loss: 2.6655e-06 - accuracy: 1.0000 - val_loss: 15.6962 - val_accuracy: 0.3173
Epoch 7801/10000
16/16 [==============================] - 1s 42ms/step - loss: 2.6433e-06 - accuracy: 1.0000 - val_loss: 15.6991 - val_accuracy: 0.3174
Epoch 7802/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.6226e-06 - accuracy: 1.0000 - val_loss: 15.7021 - val_accuracy: 0.3175
Epoch 7803/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.6083e-06 - accuracy: 1.0000 - val_loss: 15.7053 - val_accuracy: 0.3174
Epoch 7804/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.5832e-06 - accuracy: 1.0000 - val_loss: 15.7082 - val_accuracy: 0.3174
Epoch 7805/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.5642e-06 - accuracy: 1.0000 - val_loss: 15.7106 - val_accuracy: 0.3173
Epoch 7806/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.5463e-06 - accuracy: 1.0000 - val_loss: 15.7146 - val_accuracy: 0.3175
Epoch 7807/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.5296e-06 - accuracy: 1.0000 - val_loss: 15.7179 - val_accuracy: 0.3175
Epoch 7808/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.5108e-06 - accuracy: 1.0000 - val_loss: 15.7214 - val_accuracy: 0.3173
Epoch 7809/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.4960e-06 - accuracy: 1.0000 - val_loss: 15.7238 - val_accuracy: 0.3172
Epoch 7810/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.4757e-06 - accuracy: 1.0000 - val_loss: 15.7274 - val_accuracy: 0.3170
Epoch 7811/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.4564e-06 - accuracy: 1.0000 - val_loss: 15.7315 - val_accuracy: 0.3171
Epoch 7812/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.4404e-06 - accuracy: 1.0000 - val_loss: 15.7344 - val_accuracy: 0.3171
Epoch 7813/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.4221e-06 - accuracy: 1.0000 - val_loss: 15.7371 - val_accuracy: 0.3170
Epoch 7814/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.4013e-06 - accuracy: 1.0000 - val_loss: 15.7405 - val_accuracy: 0.3170
Epoch 7815/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.3877e-06 - accuracy: 1.0000 - val_loss: 15.7442 - val_accuracy: 0.3171
Epoch 7816/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.3684e-06 - accuracy: 1.0000 - val_loss: 15.7478 - val_accuracy: 0.3169
Epoch 7817/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.3472e-06 - accuracy: 1.0000 - val_loss: 15.7512 - val_accuracy: 0.3169
Epoch 7818/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.3348e-06 - accuracy: 1.0000 - val_loss: 15.7537 - val_accuracy: 0.3174
Epoch 7819/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.3191e-06 - accuracy: 1.0000 - val_loss: 15.7569 - val_accuracy: 0.3173
Epoch 7820/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.2988e-06 - accuracy: 1.0000 - val_loss: 15.7603 - val_accuracy: 0.3172
Epoch 7821/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.2845e-06 - accuracy: 1.0000 - val_loss: 15.7645 - val_accuracy: 0.3170
Epoch 7822/10000
16/16 [==============================] - 1s 43ms/step - loss: 2.2628e-06 - accuracy: 1.0000 - val_loss: 15.7686 - val_accuracy: 0.3171
Epoch 7823/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.2492e-06 - accuracy: 1.0000 - val_loss: 15.7717 - val_accuracy: 0.3172
Epoch 7824/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.2292e-06 - accuracy: 1.0000 - val_loss: 15.7744 - val_accuracy: 0.3172
Epoch 7825/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.2204e-06 - accuracy: 1.0000 - val_loss: 15.7776 - val_accuracy: 0.3173
Epoch 7826/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.1963e-06 - accuracy: 1.0000 - val_loss: 15.7812 - val_accuracy: 0.3173
Epoch 7827/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.1820e-06 - accuracy: 1.0000 - val_loss: 15.7847 - val_accuracy: 0.3171
Epoch 7828/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.1694e-06 - accuracy: 1.0000 - val_loss: 15.7889 - val_accuracy: 0.3170
Epoch 7829/10000
16/16 [==============================] - 1s 38ms/step - loss: 2.1498e-06 - accuracy: 1.0000 - val_loss: 15.7923 - val_accuracy: 0.3169
Epoch 7830/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.1355e-06 - accuracy: 1.0000 - val_loss: 15.7957 - val_accuracy: 0.3170
Epoch 7831/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.1191e-06 - accuracy: 1.0000 - val_loss: 15.7986 - val_accuracy: 0.3171
Epoch 7832/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.1069e-06 - accuracy: 1.0000 - val_loss: 15.8029 - val_accuracy: 0.3174
Epoch 7833/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.0885e-06 - accuracy: 1.0000 - val_loss: 15.8057 - val_accuracy: 0.3170
Epoch 7834/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.0740e-06 - accuracy: 1.0000 - val_loss: 15.8098 - val_accuracy: 0.3173
Epoch 7835/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.0585e-06 - accuracy: 1.0000 - val_loss: 15.8136 - val_accuracy: 0.3173
Epoch 7836/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.0423e-06 - accuracy: 1.0000 - val_loss: 15.8169 - val_accuracy: 0.3175
Epoch 7837/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.0282e-06 - accuracy: 1.0000 - val_loss: 15.8207 - val_accuracy: 0.3174
Epoch 7838/10000
16/16 [==============================] - 1s 38ms/step - loss: 2.0106e-06 - accuracy: 1.0000 - val_loss: 15.8241 - val_accuracy: 0.3176
Epoch 7839/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.9967e-06 - accuracy: 1.0000 - val_loss: 15.8271 - val_accuracy: 0.3175
Epoch 7840/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.9815e-06 - accuracy: 1.0000 - val_loss: 15.8301 - val_accuracy: 0.3175
Epoch 7841/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.9662e-06 - accuracy: 1.0000 - val_loss: 15.8333 - val_accuracy: 0.3175
Epoch 7842/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.9526e-06 - accuracy: 1.0000 - val_loss: 15.8380 - val_accuracy: 0.3175
Epoch 7843/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.9383e-06 - accuracy: 1.0000 - val_loss: 15.8409 - val_accuracy: 0.3175
Epoch 7844/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.9245e-06 - accuracy: 1.0000 - val_loss: 15.8443 - val_accuracy: 0.3175
Epoch 7845/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.9119e-06 - accuracy: 1.0000 - val_loss: 15.8486 - val_accuracy: 0.3177
Epoch 7846/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.8942e-06 - accuracy: 1.0000 - val_loss: 15.8515 - val_accuracy: 0.3178
Epoch 7847/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.8845e-06 - accuracy: 1.0000 - val_loss: 15.8547 - val_accuracy: 0.3177
Epoch 7848/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.8661e-06 - accuracy: 1.0000 - val_loss: 15.8579 - val_accuracy: 0.3175
Epoch 7849/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.8520e-06 - accuracy: 1.0000 - val_loss: 15.8615 - val_accuracy: 0.3176
Epoch 7850/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.8403e-06 - accuracy: 1.0000 - val_loss: 15.8648 - val_accuracy: 0.3176
Epoch 7851/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.8284e-06 - accuracy: 1.0000 - val_loss: 15.8677 - val_accuracy: 0.3176
Epoch 7852/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.8144e-06 - accuracy: 1.0000 - val_loss: 15.8719 - val_accuracy: 0.3177
Epoch 7853/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.8003e-06 - accuracy: 1.0000 - val_loss: 15.8756 - val_accuracy: 0.3176
Epoch 7854/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.7874e-06 - accuracy: 1.0000 - val_loss: 15.8794 - val_accuracy: 0.3177
Epoch 7855/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.7760e-06 - accuracy: 1.0000 - val_loss: 15.8817 - val_accuracy: 0.3175
Epoch 7856/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.7617e-06 - accuracy: 1.0000 - val_loss: 15.8852 - val_accuracy: 0.3176
Epoch 7857/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.7497e-06 - accuracy: 1.0000 - val_loss: 15.8888 - val_accuracy: 0.3176
Epoch 7858/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.7371e-06 - accuracy: 1.0000 - val_loss: 15.8928 - val_accuracy: 0.3178
Epoch 7859/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.7259e-06 - accuracy: 1.0000 - val_loss: 15.8963 - val_accuracy: 0.3177
Epoch 7860/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.7123e-06 - accuracy: 1.0000 - val_loss: 15.8992 - val_accuracy: 0.3177
Epoch 7861/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.7011e-06 - accuracy: 1.0000 - val_loss: 15.9026 - val_accuracy: 0.3177
Epoch 7862/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.6861e-06 - accuracy: 1.0000 - val_loss: 15.9053 - val_accuracy: 0.3178
Epoch 7863/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.6761e-06 - accuracy: 1.0000 - val_loss: 15.9084 - val_accuracy: 0.3178
Epoch 7864/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.6675e-06 - accuracy: 1.0000 - val_loss: 15.9126 - val_accuracy: 0.3176
Epoch 7865/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.6501e-06 - accuracy: 1.0000 - val_loss: 15.9144 - val_accuracy: 0.3176
Epoch 7866/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.6425e-06 - accuracy: 1.0000 - val_loss: 15.9195 - val_accuracy: 0.3176
Epoch 7867/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.6303e-06 - accuracy: 1.0000 - val_loss: 15.9219 - val_accuracy: 0.3176
Epoch 7868/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.6155e-06 - accuracy: 1.0000 - val_loss: 15.9258 - val_accuracy: 0.3176
Epoch 7869/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.6029e-06 - accuracy: 1.0000 - val_loss: 15.9293 - val_accuracy: 0.3176
Epoch 7870/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.5974e-06 - accuracy: 1.0000 - val_loss: 15.9334 - val_accuracy: 0.3176
Epoch 7871/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.5819e-06 - accuracy: 1.0000 - val_loss: 15.9354 - val_accuracy: 0.3176
Epoch 7872/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.5693e-06 - accuracy: 1.0000 - val_loss: 15.9388 - val_accuracy: 0.3178
Epoch 7873/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.5588e-06 - accuracy: 1.0000 - val_loss: 15.9422 - val_accuracy: 0.3178
Epoch 7874/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.5469e-06 - accuracy: 1.0000 - val_loss: 15.9464 - val_accuracy: 0.3176
Epoch 7875/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.5352e-06 - accuracy: 1.0000 - val_loss: 15.9495 - val_accuracy: 0.3178
Epoch 7876/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.5247e-06 - accuracy: 1.0000 - val_loss: 15.9522 - val_accuracy: 0.3175
Epoch 7877/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.5142e-06 - accuracy: 1.0000 - val_loss: 15.9559 - val_accuracy: 0.3178
Epoch 7878/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.5025e-06 - accuracy: 1.0000 - val_loss: 15.9591 - val_accuracy: 0.3177
Epoch 7879/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.4932e-06 - accuracy: 1.0000 - val_loss: 15.9633 - val_accuracy: 0.3178
Epoch 7880/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.4813e-06 - accuracy: 1.0000 - val_loss: 15.9662 - val_accuracy: 0.3178
Epoch 7881/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.4720e-06 - accuracy: 1.0000 - val_loss: 15.9690 - val_accuracy: 0.3177
Epoch 7882/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.4617e-06 - accuracy: 1.0000 - val_loss: 15.9728 - val_accuracy: 0.3176
Epoch 7883/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.4503e-06 - accuracy: 1.0000 - val_loss: 15.9770 - val_accuracy: 0.3177
Epoch 7884/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.4405e-06 - accuracy: 1.0000 - val_loss: 15.9813 - val_accuracy: 0.3177
Epoch 7885/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.4276e-06 - accuracy: 1.0000 - val_loss: 15.9852 - val_accuracy: 0.3175
Epoch 7886/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.4188e-06 - accuracy: 1.0000 - val_loss: 15.9886 - val_accuracy: 0.3175
Epoch 7887/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.4090e-06 - accuracy: 1.0000 - val_loss: 15.9918 - val_accuracy: 0.3174
Epoch 7888/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.4002e-06 - accuracy: 1.0000 - val_loss: 15.9946 - val_accuracy: 0.3176
Epoch 7889/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.3893e-06 - accuracy: 1.0000 - val_loss: 15.9975 - val_accuracy: 0.3175
Epoch 7890/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.3814e-06 - accuracy: 1.0000 - val_loss: 16.0013 - val_accuracy: 0.3177
Epoch 7891/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.3692e-06 - accuracy: 1.0000 - val_loss: 16.0054 - val_accuracy: 0.3175
Epoch 7892/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.3599e-06 - accuracy: 1.0000 - val_loss: 16.0082 - val_accuracy: 0.3177
Epoch 7893/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.3506e-06 - accuracy: 1.0000 - val_loss: 16.0118 - val_accuracy: 0.3176
Epoch 7894/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.3404e-06 - accuracy: 1.0000 - val_loss: 16.0159 - val_accuracy: 0.3178
Epoch 7895/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.3313e-06 - accuracy: 1.0000 - val_loss: 16.0189 - val_accuracy: 0.3176
Epoch 7896/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.3192e-06 - accuracy: 1.0000 - val_loss: 16.0226 - val_accuracy: 0.3176
Epoch 7897/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.3099e-06 - accuracy: 1.0000 - val_loss: 16.0258 - val_accuracy: 0.3176
Epoch 7898/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.3008e-06 - accuracy: 1.0000 - val_loss: 16.0304 - val_accuracy: 0.3178
Epoch 7899/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.2937e-06 - accuracy: 1.0000 - val_loss: 16.0337 - val_accuracy: 0.3179
Epoch 7900/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.2829e-06 - accuracy: 1.0000 - val_loss: 16.0385 - val_accuracy: 0.3177
Epoch 7901/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.2734e-06 - accuracy: 1.0000 - val_loss: 16.0407 - val_accuracy: 0.3180
Epoch 7902/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.2665e-06 - accuracy: 1.0000 - val_loss: 16.0442 - val_accuracy: 0.3176
Epoch 7903/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.2591e-06 - accuracy: 1.0000 - val_loss: 16.0482 - val_accuracy: 0.3177
Epoch 7904/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.2500e-06 - accuracy: 1.0000 - val_loss: 16.0508 - val_accuracy: 0.3177
Epoch 7905/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.2372e-06 - accuracy: 1.0000 - val_loss: 16.0546 - val_accuracy: 0.3177
Epoch 7906/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.2305e-06 - accuracy: 1.0000 - val_loss: 16.0583 - val_accuracy: 0.3180
Epoch 7907/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.2231e-06 - accuracy: 1.0000 - val_loss: 16.0619 - val_accuracy: 0.3180
Epoch 7908/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.2102e-06 - accuracy: 1.0000 - val_loss: 16.0653 - val_accuracy: 0.3174
Epoch 7909/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.2016e-06 - accuracy: 1.0000 - val_loss: 16.0692 - val_accuracy: 0.3177
Epoch 7910/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.1923e-06 - accuracy: 1.0000 - val_loss: 16.0730 - val_accuracy: 0.3176
Epoch 7911/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.1849e-06 - accuracy: 1.0000 - val_loss: 16.0760 - val_accuracy: 0.3173
Epoch 7912/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.1775e-06 - accuracy: 1.0000 - val_loss: 16.0795 - val_accuracy: 0.3173
Epoch 7913/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.1682e-06 - accuracy: 1.0000 - val_loss: 16.0835 - val_accuracy: 0.3174
Epoch 7914/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.1623e-06 - accuracy: 1.0000 - val_loss: 16.0875 - val_accuracy: 0.3173
Epoch 7915/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.1511e-06 - accuracy: 1.0000 - val_loss: 16.0908 - val_accuracy: 0.3172
Epoch 7916/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.1454e-06 - accuracy: 1.0000 - val_loss: 16.0941 - val_accuracy: 0.3172
Epoch 7917/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.1344e-06 - accuracy: 1.0000 - val_loss: 16.0975 - val_accuracy: 0.3173
Epoch 7918/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.1263e-06 - accuracy: 1.0000 - val_loss: 16.1015 - val_accuracy: 0.3173
Epoch 7919/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.1165e-06 - accuracy: 1.0000 - val_loss: 16.1053 - val_accuracy: 0.3174
Epoch 7920/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.1086e-06 - accuracy: 1.0000 - val_loss: 16.1093 - val_accuracy: 0.3175
Epoch 7921/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.1008e-06 - accuracy: 1.0000 - val_loss: 16.1128 - val_accuracy: 0.3173
Epoch 7922/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.0960e-06 - accuracy: 1.0000 - val_loss: 16.1159 - val_accuracy: 0.3176
Epoch 7923/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.0879e-06 - accuracy: 1.0000 - val_loss: 16.1195 - val_accuracy: 0.3171
Epoch 7924/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.0753e-06 - accuracy: 1.0000 - val_loss: 16.1231 - val_accuracy: 0.3174
Epoch 7925/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.0695e-06 - accuracy: 1.0000 - val_loss: 16.1266 - val_accuracy: 0.3173
Epoch 7926/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.0622e-06 - accuracy: 1.0000 - val_loss: 16.1296 - val_accuracy: 0.3172
Epoch 7927/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.0548e-06 - accuracy: 1.0000 - val_loss: 16.1343 - val_accuracy: 0.3171
Epoch 7928/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.0476e-06 - accuracy: 1.0000 - val_loss: 16.1376 - val_accuracy: 0.3172
Epoch 7929/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.0376e-06 - accuracy: 1.0000 - val_loss: 16.1414 - val_accuracy: 0.3173
Epoch 7930/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.0316e-06 - accuracy: 1.0000 - val_loss: 16.1445 - val_accuracy: 0.3173
Epoch 7931/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.0254e-06 - accuracy: 1.0000 - val_loss: 16.1490 - val_accuracy: 0.3176
Epoch 7932/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.0171e-06 - accuracy: 1.0000 - val_loss: 16.1526 - val_accuracy: 0.3175
Epoch 7933/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0107e-06 - accuracy: 1.0000 - val_loss: 16.1562 - val_accuracy: 0.3175
Epoch 7934/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0023e-06 - accuracy: 1.0000 - val_loss: 16.1594 - val_accuracy: 0.3175
Epoch 7935/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.9683e-07 - accuracy: 1.0000 - val_loss: 16.1637 - val_accuracy: 0.3175
Epoch 7936/10000
16/16 [==============================] - 1s 38ms/step - loss: 9.8729e-07 - accuracy: 1.0000 - val_loss: 16.1664 - val_accuracy: 0.3175
Epoch 7937/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.8276e-07 - accuracy: 1.0000 - val_loss: 16.1697 - val_accuracy: 0.3173
Epoch 7938/10000
16/16 [==============================] - 1s 38ms/step - loss: 9.7823e-07 - accuracy: 1.0000 - val_loss: 16.1741 - val_accuracy: 0.3176
Epoch 7939/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.6822e-07 - accuracy: 1.0000 - val_loss: 16.1780 - val_accuracy: 0.3175
Epoch 7940/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.6178e-07 - accuracy: 1.0000 - val_loss: 16.1810 - val_accuracy: 0.3173
Epoch 7941/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.5296e-07 - accuracy: 1.0000 - val_loss: 16.1852 - val_accuracy: 0.3173
Epoch 7942/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.4628e-07 - accuracy: 1.0000 - val_loss: 16.1880 - val_accuracy: 0.3173
Epoch 7943/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.4199e-07 - accuracy: 1.0000 - val_loss: 16.1913 - val_accuracy: 0.3172
Epoch 7944/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.3245e-07 - accuracy: 1.0000 - val_loss: 16.1951 - val_accuracy: 0.3172
Epoch 7945/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.2411e-07 - accuracy: 1.0000 - val_loss: 16.1993 - val_accuracy: 0.3172
Epoch 7946/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.1934e-07 - accuracy: 1.0000 - val_loss: 16.2026 - val_accuracy: 0.3171
Epoch 7947/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.1290e-07 - accuracy: 1.0000 - val_loss: 16.2064 - val_accuracy: 0.3171
Epoch 7948/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.0599e-07 - accuracy: 1.0000 - val_loss: 16.2100 - val_accuracy: 0.3171
Epoch 7949/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.9884e-07 - accuracy: 1.0000 - val_loss: 16.2156 - val_accuracy: 0.3171
Epoch 7950/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.9192e-07 - accuracy: 1.0000 - val_loss: 16.2195 - val_accuracy: 0.3173
Epoch 7951/10000
16/16 [==============================] - 1s 38ms/step - loss: 8.8715e-07 - accuracy: 1.0000 - val_loss: 16.2215 - val_accuracy: 0.3172
Epoch 7952/10000
16/16 [==============================] - 1s 41ms/step - loss: 8.8191e-07 - accuracy: 1.0000 - val_loss: 16.2257 - val_accuracy: 0.3169
Epoch 7953/10000
16/16 [==============================] - 1s 38ms/step - loss: 8.7666e-07 - accuracy: 1.0000 - val_loss: 16.2302 - val_accuracy: 0.3170
Epoch 7954/10000
16/16 [==============================] - 1s 41ms/step - loss: 8.6784e-07 - accuracy: 1.0000 - val_loss: 16.2326 - val_accuracy: 0.3169
Epoch 7955/10000
16/16 [==============================] - 1s 41ms/step - loss: 8.6212e-07 - accuracy: 1.0000 - val_loss: 16.2358 - val_accuracy: 0.3168
Epoch 7956/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.5401e-07 - accuracy: 1.0000 - val_loss: 16.2402 - val_accuracy: 0.3165
Epoch 7957/10000
16/16 [==============================] - 1s 38ms/step - loss: 8.4829e-07 - accuracy: 1.0000 - val_loss: 16.2434 - val_accuracy: 0.3166
Epoch 7958/10000
16/16 [==============================] - 1s 41ms/step - loss: 8.4114e-07 - accuracy: 1.0000 - val_loss: 16.2467 - val_accuracy: 0.3167
Epoch 7959/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.3661e-07 - accuracy: 1.0000 - val_loss: 16.2515 - val_accuracy: 0.3163
Epoch 7960/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.2993e-07 - accuracy: 1.0000 - val_loss: 16.2545 - val_accuracy: 0.3166
Epoch 7961/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.2278e-07 - accuracy: 1.0000 - val_loss: 16.2587 - val_accuracy: 0.3165
Epoch 7962/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.1754e-07 - accuracy: 1.0000 - val_loss: 16.2634 - val_accuracy: 0.3166
Epoch 7963/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.1158e-07 - accuracy: 1.0000 - val_loss: 16.2659 - val_accuracy: 0.3166
Epoch 7964/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.0776e-07 - accuracy: 1.0000 - val_loss: 16.2694 - val_accuracy: 0.3166
Epoch 7965/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.0037e-07 - accuracy: 1.0000 - val_loss: 16.2740 - val_accuracy: 0.3164
Epoch 7966/10000
16/16 [==============================] - 1s 38ms/step - loss: 7.9322e-07 - accuracy: 1.0000 - val_loss: 16.2777 - val_accuracy: 0.3163
Epoch 7967/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.8988e-07 - accuracy: 1.0000 - val_loss: 16.2805 - val_accuracy: 0.3166
Epoch 7968/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.8106e-07 - accuracy: 1.0000 - val_loss: 16.2845 - val_accuracy: 0.3169
Epoch 7969/10000
16/16 [==============================] - 1s 38ms/step - loss: 7.7772e-07 - accuracy: 1.0000 - val_loss: 16.2881 - val_accuracy: 0.3169
Epoch 7970/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.7200e-07 - accuracy: 1.0000 - val_loss: 16.2921 - val_accuracy: 0.3168
Epoch 7971/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.6699e-07 - accuracy: 1.0000 - val_loss: 16.2958 - val_accuracy: 0.3169
Epoch 7972/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.5960e-07 - accuracy: 1.0000 - val_loss: 16.2995 - val_accuracy: 0.3170
Epoch 7973/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.5483e-07 - accuracy: 1.0000 - val_loss: 16.3023 - val_accuracy: 0.3169
Epoch 7974/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.4887e-07 - accuracy: 1.0000 - val_loss: 16.3058 - val_accuracy: 0.3171
Epoch 7975/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.4363e-07 - accuracy: 1.0000 - val_loss: 16.3098 - val_accuracy: 0.3171
Epoch 7976/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.3695e-07 - accuracy: 1.0000 - val_loss: 16.3146 - val_accuracy: 0.3172
Epoch 7977/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.3385e-07 - accuracy: 1.0000 - val_loss: 16.3180 - val_accuracy: 0.3172
Epoch 7978/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.2718e-07 - accuracy: 1.0000 - val_loss: 16.3223 - val_accuracy: 0.3175
Epoch 7979/10000
16/16 [==============================] - 1s 41ms/step - loss: 7.2074e-07 - accuracy: 1.0000 - val_loss: 16.3258 - val_accuracy: 0.3175
Epoch 7980/10000
16/16 [==============================] - 1s 43ms/step - loss: 7.1645e-07 - accuracy: 1.0000 - val_loss: 16.3294 - val_accuracy: 0.3175
Epoch 7981/10000
16/16 [==============================] - 1s 47ms/step - loss: 7.1096e-07 - accuracy: 1.0000 - val_loss: 16.3323 - val_accuracy: 0.3176
Epoch 7982/10000
16/16 [==============================] - 1s 47ms/step - loss: 7.0572e-07 - accuracy: 1.0000 - val_loss: 16.3363 - val_accuracy: 0.3175
Epoch 7983/10000
16/16 [==============================] - 1s 46ms/step - loss: 6.9976e-07 - accuracy: 1.0000 - val_loss: 16.3405 - val_accuracy: 0.3179
Epoch 7984/10000
16/16 [==============================] - 1s 46ms/step - loss: 6.9594e-07 - accuracy: 1.0000 - val_loss: 16.3450 - val_accuracy: 0.3179
Epoch 7985/10000
16/16 [==============================] - 1s 47ms/step - loss: 6.8998e-07 - accuracy: 1.0000 - val_loss: 16.3474 - val_accuracy: 0.3178
Epoch 7986/10000
16/16 [==============================] - 1s 47ms/step - loss: 6.8641e-07 - accuracy: 1.0000 - val_loss: 16.3508 - val_accuracy: 0.3178
Epoch 7987/10000
16/16 [==============================] - 1s 48ms/step - loss: 6.7997e-07 - accuracy: 1.0000 - val_loss: 16.3544 - val_accuracy: 0.3178
Epoch 7988/10000
16/16 [==============================] - 1s 48ms/step - loss: 6.7449e-07 - accuracy: 1.0000 - val_loss: 16.3602 - val_accuracy: 0.3179
Epoch 7989/10000
16/16 [==============================] - 1s 47ms/step - loss: 6.7115e-07 - accuracy: 1.0000 - val_loss: 16.3630 - val_accuracy: 0.3178
Epoch 7990/10000
16/16 [==============================] - 1s 47ms/step - loss: 6.6495e-07 - accuracy: 1.0000 - val_loss: 16.3657 - val_accuracy: 0.3180
Epoch 7991/10000
16/16 [==============================] - 1s 47ms/step - loss: 6.5994e-07 - accuracy: 1.0000 - val_loss: 16.3696 - val_accuracy: 0.3180
Epoch 7992/10000
16/16 [==============================] - 1s 47ms/step - loss: 6.5398e-07 - accuracy: 1.0000 - val_loss: 16.3746 - val_accuracy: 0.3178
Epoch 7993/10000
16/16 [==============================] - 1s 47ms/step - loss: 6.4969e-07 - accuracy: 1.0000 - val_loss: 16.3781 - val_accuracy: 0.3179
Epoch 7994/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.4659e-07 - accuracy: 1.0000 - val_loss: 16.3818 - val_accuracy: 0.3178
Epoch 7995/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.4087e-07 - accuracy: 1.0000 - val_loss: 16.3861 - val_accuracy: 0.3177
Epoch 7996/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.3682e-07 - accuracy: 1.0000 - val_loss: 16.3902 - val_accuracy: 0.3178
Epoch 7997/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.3348e-07 - accuracy: 1.0000 - val_loss: 16.3946 - val_accuracy: 0.3177
Epoch 7998/10000
16/16 [==============================] - 1s 41ms/step - loss: 6.2728e-07 - accuracy: 1.0000 - val_loss: 16.3975 - val_accuracy: 0.3177
Epoch 7999/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.2060e-07 - accuracy: 1.0000 - val_loss: 16.4015 - val_accuracy: 0.3174
Epoch 8000/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.1417e-07 - accuracy: 1.0000 - val_loss: 16.4053 - val_accuracy: 0.3176
Epoch 8001/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.1321e-07 - accuracy: 1.0000 - val_loss: 16.4096 - val_accuracy: 0.3175
Epoch 8002/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.0844e-07 - accuracy: 1.0000 - val_loss: 16.4133 - val_accuracy: 0.3176
Epoch 8003/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.0296e-07 - accuracy: 1.0000 - val_loss: 16.4165 - val_accuracy: 0.3176
Epoch 8004/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.9843e-07 - accuracy: 1.0000 - val_loss: 16.4210 - val_accuracy: 0.3175
Epoch 8005/10000
16/16 [==============================] - 1s 41ms/step - loss: 5.9390e-07 - accuracy: 1.0000 - val_loss: 16.4240 - val_accuracy: 0.3176
Epoch 8006/10000
16/16 [==============================] - 1s 38ms/step - loss: 5.9080e-07 - accuracy: 1.0000 - val_loss: 16.4273 - val_accuracy: 0.3175
Epoch 8007/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.8770e-07 - accuracy: 1.0000 - val_loss: 16.4321 - val_accuracy: 0.3177
Epoch 8008/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.8293e-07 - accuracy: 1.0000 - val_loss: 16.4370 - val_accuracy: 0.3176
Epoch 8009/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.7816e-07 - accuracy: 1.0000 - val_loss: 16.4391 - val_accuracy: 0.3174
Epoch 8010/10000
16/16 [==============================] - 1s 41ms/step - loss: 5.7411e-07 - accuracy: 1.0000 - val_loss: 16.4432 - val_accuracy: 0.3173
Epoch 8011/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.7030e-07 - accuracy: 1.0000 - val_loss: 16.4475 - val_accuracy: 0.3173
Epoch 8012/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.6529e-07 - accuracy: 1.0000 - val_loss: 16.4509 - val_accuracy: 0.3172
Epoch 8013/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.6076e-07 - accuracy: 1.0000 - val_loss: 16.4555 - val_accuracy: 0.3171
Epoch 8014/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.5742e-07 - accuracy: 1.0000 - val_loss: 16.4592 - val_accuracy: 0.3173
Epoch 8015/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.5194e-07 - accuracy: 1.0000 - val_loss: 16.4635 - val_accuracy: 0.3170
Epoch 8016/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.4741e-07 - accuracy: 1.0000 - val_loss: 16.4672 - val_accuracy: 0.3170
Epoch 8017/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.4431e-07 - accuracy: 1.0000 - val_loss: 16.4710 - val_accuracy: 0.3169
Epoch 8018/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.4073e-07 - accuracy: 1.0000 - val_loss: 16.4753 - val_accuracy: 0.3170
Epoch 8019/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.3596e-07 - accuracy: 1.0000 - val_loss: 16.4791 - val_accuracy: 0.3170
Epoch 8020/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.3239e-07 - accuracy: 1.0000 - val_loss: 16.4833 - val_accuracy: 0.3170
Epoch 8021/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.2810e-07 - accuracy: 1.0000 - val_loss: 16.4880 - val_accuracy: 0.3171
Epoch 8022/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.2428e-07 - accuracy: 1.0000 - val_loss: 16.4908 - val_accuracy: 0.3172
Epoch 8023/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.1975e-07 - accuracy: 1.0000 - val_loss: 16.4949 - val_accuracy: 0.3172
Epoch 8024/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.1641e-07 - accuracy: 1.0000 - val_loss: 16.4985 - val_accuracy: 0.3170
Epoch 8025/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.1188e-07 - accuracy: 1.0000 - val_loss: 16.5024 - val_accuracy: 0.3168
Epoch 8026/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.1069e-07 - accuracy: 1.0000 - val_loss: 16.5063 - val_accuracy: 0.3168
Epoch 8027/10000
16/16 [==============================] - 1s 38ms/step - loss: 5.0545e-07 - accuracy: 1.0000 - val_loss: 16.5106 - val_accuracy: 0.3166
Epoch 8028/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.0187e-07 - accuracy: 1.0000 - val_loss: 16.5155 - val_accuracy: 0.3168
Epoch 8029/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.9925e-07 - accuracy: 1.0000 - val_loss: 16.5197 - val_accuracy: 0.3170
Epoch 8030/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.9567e-07 - accuracy: 1.0000 - val_loss: 16.5233 - val_accuracy: 0.3167
Epoch 8031/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.9019e-07 - accuracy: 1.0000 - val_loss: 16.5281 - val_accuracy: 0.3167
Epoch 8032/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.8685e-07 - accuracy: 1.0000 - val_loss: 16.5310 - val_accuracy: 0.3164
Epoch 8033/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.8280e-07 - accuracy: 1.0000 - val_loss: 16.5362 - val_accuracy: 0.3169
Epoch 8034/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.8017e-07 - accuracy: 1.0000 - val_loss: 16.5394 - val_accuracy: 0.3166
Epoch 8035/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.7612e-07 - accuracy: 1.0000 - val_loss: 16.5422 - val_accuracy: 0.3164
Epoch 8036/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.7278e-07 - accuracy: 1.0000 - val_loss: 16.5457 - val_accuracy: 0.3166
Epoch 8037/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.6802e-07 - accuracy: 1.0000 - val_loss: 16.5502 - val_accuracy: 0.3165
Epoch 8038/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.6635e-07 - accuracy: 1.0000 - val_loss: 16.5533 - val_accuracy: 0.3166
Epoch 8039/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.6229e-07 - accuracy: 1.0000 - val_loss: 16.5582 - val_accuracy: 0.3166
Epoch 8040/10000
16/16 [==============================] - 1s 41ms/step - loss: 4.5943e-07 - accuracy: 1.0000 - val_loss: 16.5626 - val_accuracy: 0.3165
Epoch 8041/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.5562e-07 - accuracy: 1.0000 - val_loss: 16.5660 - val_accuracy: 0.3165
Epoch 8042/10000
16/16 [==============================] - 1s 42ms/step - loss: 4.5228e-07 - accuracy: 1.0000 - val_loss: 16.5703 - val_accuracy: 0.3162
Epoch 8043/10000
16/16 [==============================] - 1s 42ms/step - loss: 4.4870e-07 - accuracy: 1.0000 - val_loss: 16.5741 - val_accuracy: 0.3163
Epoch 8044/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.4489e-07 - accuracy: 1.0000 - val_loss: 16.5790 - val_accuracy: 0.3159
Epoch 8045/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.4179e-07 - accuracy: 1.0000 - val_loss: 16.5829 - val_accuracy: 0.3161
Epoch 8046/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.3702e-07 - accuracy: 1.0000 - val_loss: 16.5876 - val_accuracy: 0.3161
Epoch 8047/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.3535e-07 - accuracy: 1.0000 - val_loss: 16.5924 - val_accuracy: 0.3159
Epoch 8048/10000
16/16 [==============================] - 1s 41ms/step - loss: 4.3273e-07 - accuracy: 1.0000 - val_loss: 16.5961 - val_accuracy: 0.3159
Epoch 8049/10000
16/16 [==============================] - 1s 41ms/step - loss: 4.2987e-07 - accuracy: 1.0000 - val_loss: 16.5998 - val_accuracy: 0.3160
Epoch 8050/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.2605e-07 - accuracy: 1.0000 - val_loss: 16.6042 - val_accuracy: 0.3156
Epoch 8051/10000
16/16 [==============================] - 1s 42ms/step - loss: 4.2295e-07 - accuracy: 1.0000 - val_loss: 16.6091 - val_accuracy: 0.3160
Epoch 8052/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.2105e-07 - accuracy: 1.0000 - val_loss: 16.6113 - val_accuracy: 0.3156
Epoch 8053/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.1795e-07 - accuracy: 1.0000 - val_loss: 16.6145 - val_accuracy: 0.3158
Epoch 8054/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.1366e-07 - accuracy: 1.0000 - val_loss: 16.6191 - val_accuracy: 0.3161
Epoch 8055/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.1127e-07 - accuracy: 1.0000 - val_loss: 16.6246 - val_accuracy: 0.3158
Epoch 8056/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.0746e-07 - accuracy: 1.0000 - val_loss: 16.6291 - val_accuracy: 0.3160
Epoch 8057/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.0483e-07 - accuracy: 1.0000 - val_loss: 16.6323 - val_accuracy: 0.3161
Epoch 8058/10000
16/16 [==============================] - 1s 38ms/step - loss: 4.0221e-07 - accuracy: 1.0000 - val_loss: 16.6365 - val_accuracy: 0.3160
Epoch 8059/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.9935e-07 - accuracy: 1.0000 - val_loss: 16.6403 - val_accuracy: 0.3161
Epoch 8060/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.9506e-07 - accuracy: 1.0000 - val_loss: 16.6455 - val_accuracy: 0.3162
Epoch 8061/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.9244e-07 - accuracy: 1.0000 - val_loss: 16.6490 - val_accuracy: 0.3161
Epoch 8062/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.8767e-07 - accuracy: 1.0000 - val_loss: 16.6528 - val_accuracy: 0.3162
Epoch 8063/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.8481e-07 - accuracy: 1.0000 - val_loss: 16.6567 - val_accuracy: 0.3162
Epoch 8064/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.8242e-07 - accuracy: 1.0000 - val_loss: 16.6599 - val_accuracy: 0.3161
Epoch 8065/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.7932e-07 - accuracy: 1.0000 - val_loss: 16.6647 - val_accuracy: 0.3161
Epoch 8066/10000
16/16 [==============================] - 1s 38ms/step - loss: 3.7742e-07 - accuracy: 1.0000 - val_loss: 16.6683 - val_accuracy: 0.3162
Epoch 8067/10000
16/16 [==============================] - 1s 41ms/step - loss: 3.7527e-07 - accuracy: 1.0000 - val_loss: 16.6735 - val_accuracy: 0.3164
Epoch 8068/10000
16/16 [==============================] - 1s 38ms/step - loss: 3.7146e-07 - accuracy: 1.0000 - val_loss: 16.6770 - val_accuracy: 0.3166
Epoch 8069/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.6955e-07 - accuracy: 1.0000 - val_loss: 16.6807 - val_accuracy: 0.3165
Epoch 8070/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.6645e-07 - accuracy: 1.0000 - val_loss: 16.6846 - val_accuracy: 0.3165
Epoch 8071/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.6359e-07 - accuracy: 1.0000 - val_loss: 16.6894 - val_accuracy: 0.3163
Epoch 8072/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.6120e-07 - accuracy: 1.0000 - val_loss: 16.6930 - val_accuracy: 0.3167
Epoch 8073/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.5787e-07 - accuracy: 1.0000 - val_loss: 16.6981 - val_accuracy: 0.3165
Epoch 8074/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.5548e-07 - accuracy: 1.0000 - val_loss: 16.7015 - val_accuracy: 0.3164
Epoch 8075/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.5214e-07 - accuracy: 1.0000 - val_loss: 16.7055 - val_accuracy: 0.3167
Epoch 8076/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.4928e-07 - accuracy: 1.0000 - val_loss: 16.7099 - val_accuracy: 0.3165
Epoch 8077/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.4666e-07 - accuracy: 1.0000 - val_loss: 16.7134 - val_accuracy: 0.3166
Epoch 8078/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.4285e-07 - accuracy: 1.0000 - val_loss: 16.7176 - val_accuracy: 0.3167
Epoch 8079/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.3975e-07 - accuracy: 1.0000 - val_loss: 16.7226 - val_accuracy: 0.3164
Epoch 8080/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.3760e-07 - accuracy: 1.0000 - val_loss: 16.7257 - val_accuracy: 0.3166
Epoch 8081/10000
16/16 [==============================] - 1s 41ms/step - loss: 3.3545e-07 - accuracy: 1.0000 - val_loss: 16.7300 - val_accuracy: 0.3168
Epoch 8082/10000
16/16 [==============================] - 1s 41ms/step - loss: 3.3331e-07 - accuracy: 1.0000 - val_loss: 16.7335 - val_accuracy: 0.3168
Epoch 8083/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.3045e-07 - accuracy: 1.0000 - val_loss: 16.7384 - val_accuracy: 0.3167
Epoch 8084/10000
16/16 [==============================] - 1s 41ms/step - loss: 3.2806e-07 - accuracy: 1.0000 - val_loss: 16.7418 - val_accuracy: 0.3168
Epoch 8085/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.2449e-07 - accuracy: 1.0000 - val_loss: 16.7465 - val_accuracy: 0.3166
Epoch 8086/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.2258e-07 - accuracy: 1.0000 - val_loss: 16.7508 - val_accuracy: 0.3167
Epoch 8087/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.2234e-07 - accuracy: 1.0000 - val_loss: 16.7558 - val_accuracy: 0.3167
Epoch 8088/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.1710e-07 - accuracy: 1.0000 - val_loss: 16.7588 - val_accuracy: 0.3167
Epoch 8089/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.1567e-07 - accuracy: 1.0000 - val_loss: 16.7632 - val_accuracy: 0.3164
Epoch 8090/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.1328e-07 - accuracy: 1.0000 - val_loss: 16.7678 - val_accuracy: 0.3166
Epoch 8091/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.1090e-07 - accuracy: 1.0000 - val_loss: 16.7718 - val_accuracy: 0.3166
Epoch 8092/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.0851e-07 - accuracy: 1.0000 - val_loss: 16.7752 - val_accuracy: 0.3167
Epoch 8093/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.0756e-07 - accuracy: 1.0000 - val_loss: 16.7794 - val_accuracy: 0.3168
Epoch 8094/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.0422e-07 - accuracy: 1.0000 - val_loss: 16.7831 - val_accuracy: 0.3167
Epoch 8095/10000
16/16 [==============================] - 1s 42ms/step - loss: 3.0184e-07 - accuracy: 1.0000 - val_loss: 16.7880 - val_accuracy: 0.3167
Epoch 8096/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.9731e-07 - accuracy: 1.0000 - val_loss: 16.7924 - val_accuracy: 0.3165
Epoch 8097/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.9612e-07 - accuracy: 1.0000 - val_loss: 16.7973 - val_accuracy: 0.3165
Epoch 8098/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.9349e-07 - accuracy: 1.0000 - val_loss: 16.8012 - val_accuracy: 0.3163
Epoch 8099/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.9159e-07 - accuracy: 1.0000 - val_loss: 16.8044 - val_accuracy: 0.3164
Epoch 8100/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.8920e-07 - accuracy: 1.0000 - val_loss: 16.8092 - val_accuracy: 0.3161
Epoch 8101/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.8634e-07 - accuracy: 1.0000 - val_loss: 16.8128 - val_accuracy: 0.3160
Epoch 8102/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.8443e-07 - accuracy: 1.0000 - val_loss: 16.8174 - val_accuracy: 0.3163
Epoch 8103/10000
16/16 [==============================] - 1s 38ms/step - loss: 2.8253e-07 - accuracy: 1.0000 - val_loss: 16.8219 - val_accuracy: 0.3161
Epoch 8104/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.8133e-07 - accuracy: 1.0000 - val_loss: 16.8258 - val_accuracy: 0.3162
Epoch 8105/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.7752e-07 - accuracy: 1.0000 - val_loss: 16.8298 - val_accuracy: 0.3161
Epoch 8106/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.7752e-07 - accuracy: 1.0000 - val_loss: 16.8348 - val_accuracy: 0.3160
Epoch 8107/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.7537e-07 - accuracy: 1.0000 - val_loss: 16.8390 - val_accuracy: 0.3161
Epoch 8108/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.7370e-07 - accuracy: 1.0000 - val_loss: 16.8416 - val_accuracy: 0.3162
Epoch 8109/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.6894e-07 - accuracy: 1.0000 - val_loss: 16.8464 - val_accuracy: 0.3158
Epoch 8110/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.6822e-07 - accuracy: 1.0000 - val_loss: 16.8512 - val_accuracy: 0.3158
Epoch 8111/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.6607e-07 - accuracy: 1.0000 - val_loss: 16.8542 - val_accuracy: 0.3156
Epoch 8112/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.6393e-07 - accuracy: 1.0000 - val_loss: 16.8590 - val_accuracy: 0.3156
Epoch 8113/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.6083e-07 - accuracy: 1.0000 - val_loss: 16.8631 - val_accuracy: 0.3158
Epoch 8114/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.5868e-07 - accuracy: 1.0000 - val_loss: 16.8676 - val_accuracy: 0.3156
Epoch 8115/10000
16/16 [==============================] - 1s 42ms/step - loss: 2.5558e-07 - accuracy: 1.0000 - val_loss: 16.8717 - val_accuracy: 0.3155
Epoch 8116/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.5344e-07 - accuracy: 1.0000 - val_loss: 16.8752 - val_accuracy: 0.3158
Epoch 8117/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.5010e-07 - accuracy: 1.0000 - val_loss: 16.8798 - val_accuracy: 0.3156
Epoch 8118/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.4962e-07 - accuracy: 1.0000 - val_loss: 16.8856 - val_accuracy: 0.3154
Epoch 8119/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.4772e-07 - accuracy: 1.0000 - val_loss: 16.8888 - val_accuracy: 0.3156
Epoch 8120/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.4700e-07 - accuracy: 1.0000 - val_loss: 16.8921 - val_accuracy: 0.3155
Epoch 8121/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.4509e-07 - accuracy: 1.0000 - val_loss: 16.8962 - val_accuracy: 0.3157
Epoch 8122/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.4295e-07 - accuracy: 1.0000 - val_loss: 16.9011 - val_accuracy: 0.3155
Epoch 8123/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.4247e-07 - accuracy: 1.0000 - val_loss: 16.9061 - val_accuracy: 0.3156
Epoch 8124/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.4033e-07 - accuracy: 1.0000 - val_loss: 16.9105 - val_accuracy: 0.3157
Epoch 8125/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.3723e-07 - accuracy: 1.0000 - val_loss: 16.9143 - val_accuracy: 0.3157
Epoch 8126/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.3794e-07 - accuracy: 1.0000 - val_loss: 16.9179 - val_accuracy: 0.3156
Epoch 8127/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.3460e-07 - accuracy: 1.0000 - val_loss: 16.9208 - val_accuracy: 0.3155
Epoch 8128/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.3246e-07 - accuracy: 1.0000 - val_loss: 16.9246 - val_accuracy: 0.3155
Epoch 8129/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.3127e-07 - accuracy: 1.0000 - val_loss: 16.9290 - val_accuracy: 0.3155
Epoch 8130/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.2864e-07 - accuracy: 1.0000 - val_loss: 16.9325 - val_accuracy: 0.3155
Epoch 8131/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.2650e-07 - accuracy: 1.0000 - val_loss: 16.9378 - val_accuracy: 0.3156
Epoch 8132/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.2531e-07 - accuracy: 1.0000 - val_loss: 16.9418 - val_accuracy: 0.3156
Epoch 8133/10000
16/16 [==============================] - 1s 38ms/step - loss: 2.2244e-07 - accuracy: 1.0000 - val_loss: 16.9463 - val_accuracy: 0.3154
Epoch 8134/10000
16/16 [==============================] - 1s 42ms/step - loss: 2.1958e-07 - accuracy: 1.0000 - val_loss: 16.9494 - val_accuracy: 0.3154
Epoch 8135/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.1791e-07 - accuracy: 1.0000 - val_loss: 16.9545 - val_accuracy: 0.3155
Epoch 8136/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.1553e-07 - accuracy: 1.0000 - val_loss: 16.9591 - val_accuracy: 0.3154
Epoch 8137/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.1410e-07 - accuracy: 1.0000 - val_loss: 16.9633 - val_accuracy: 0.3154
Epoch 8138/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.1243e-07 - accuracy: 1.0000 - val_loss: 16.9682 - val_accuracy: 0.3155
Epoch 8139/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.1124e-07 - accuracy: 1.0000 - val_loss: 16.9732 - val_accuracy: 0.3157
Epoch 8140/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.0933e-07 - accuracy: 1.0000 - val_loss: 16.9770 - val_accuracy: 0.3156
Epoch 8141/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.0814e-07 - accuracy: 1.0000 - val_loss: 16.9810 - val_accuracy: 0.3157
Epoch 8142/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.0576e-07 - accuracy: 1.0000 - val_loss: 16.9857 - val_accuracy: 0.3157
Epoch 8143/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.0647e-07 - accuracy: 1.0000 - val_loss: 16.9892 - val_accuracy: 0.3157
Epoch 8144/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.0504e-07 - accuracy: 1.0000 - val_loss: 16.9924 - val_accuracy: 0.3156
Epoch 8145/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.0361e-07 - accuracy: 1.0000 - val_loss: 16.9972 - val_accuracy: 0.3155
Epoch 8146/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.0194e-07 - accuracy: 1.0000 - val_loss: 17.0022 - val_accuracy: 0.3155
Epoch 8147/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.0027e-07 - accuracy: 1.0000 - val_loss: 17.0046 - val_accuracy: 0.3154
Epoch 8148/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.9884e-07 - accuracy: 1.0000 - val_loss: 17.0106 - val_accuracy: 0.3154
Epoch 8149/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.9717e-07 - accuracy: 1.0000 - val_loss: 17.0138 - val_accuracy: 0.3154
Epoch 8150/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.9598e-07 - accuracy: 1.0000 - val_loss: 17.0184 - val_accuracy: 0.3153
Epoch 8151/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.9431e-07 - accuracy: 1.0000 - val_loss: 17.0217 - val_accuracy: 0.3152
Epoch 8152/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.9193e-07 - accuracy: 1.0000 - val_loss: 17.0268 - val_accuracy: 0.3153
Epoch 8153/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.9050e-07 - accuracy: 1.0000 - val_loss: 17.0315 - val_accuracy: 0.3153
Epoch 8154/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.8787e-07 - accuracy: 1.0000 - val_loss: 17.0346 - val_accuracy: 0.3152
Epoch 8155/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.8716e-07 - accuracy: 1.0000 - val_loss: 17.0382 - val_accuracy: 0.3152
Epoch 8156/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.8597e-07 - accuracy: 1.0000 - val_loss: 17.0436 - val_accuracy: 0.3153
Epoch 8157/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.8358e-07 - accuracy: 1.0000 - val_loss: 17.0461 - val_accuracy: 0.3153
Epoch 8158/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.8167e-07 - accuracy: 1.0000 - val_loss: 17.0502 - val_accuracy: 0.3153
Epoch 8159/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.8024e-07 - accuracy: 1.0000 - val_loss: 17.0552 - val_accuracy: 0.3157
Epoch 8160/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.7929e-07 - accuracy: 1.0000 - val_loss: 17.0602 - val_accuracy: 0.3151
Epoch 8161/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.7619e-07 - accuracy: 1.0000 - val_loss: 17.0640 - val_accuracy: 0.3156
Epoch 8162/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.7428e-07 - accuracy: 1.0000 - val_loss: 17.0686 - val_accuracy: 0.3154
Epoch 8163/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.7381e-07 - accuracy: 1.0000 - val_loss: 17.0740 - val_accuracy: 0.3154
Epoch 8164/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.7166e-07 - accuracy: 1.0000 - val_loss: 17.0788 - val_accuracy: 0.3154
Epoch 8165/10000
16/16 [==============================] - 1s 44ms/step - loss: 1.7118e-07 - accuracy: 1.0000 - val_loss: 17.0838 - val_accuracy: 0.3152
Epoch 8166/10000
16/16 [==============================] - 1s 44ms/step - loss: 1.6952e-07 - accuracy: 1.0000 - val_loss: 17.0880 - val_accuracy: 0.3153
Epoch 8167/10000
16/16 [==============================] - 1s 45ms/step - loss: 1.6904e-07 - accuracy: 1.0000 - val_loss: 17.0914 - val_accuracy: 0.3153
Epoch 8168/10000
16/16 [==============================] - 1s 45ms/step - loss: 1.6713e-07 - accuracy: 1.0000 - val_loss: 17.0964 - val_accuracy: 0.3150
Epoch 8169/10000
16/16 [==============================] - 1s 45ms/step - loss: 1.6522e-07 - accuracy: 1.0000 - val_loss: 17.0998 - val_accuracy: 0.3155
Epoch 8170/10000
16/16 [==============================] - 1s 46ms/step - loss: 1.6475e-07 - accuracy: 1.0000 - val_loss: 17.1054 - val_accuracy: 0.3151
Epoch 8171/10000
16/16 [==============================] - 1s 47ms/step - loss: 1.6427e-07 - accuracy: 1.0000 - val_loss: 17.1095 - val_accuracy: 0.3152
Epoch 8172/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.6332e-07 - accuracy: 1.0000 - val_loss: 17.1136 - val_accuracy: 0.3151
Epoch 8173/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.6117e-07 - accuracy: 1.0000 - val_loss: 17.1180 - val_accuracy: 0.3150
Epoch 8174/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.6046e-07 - accuracy: 1.0000 - val_loss: 17.1219 - val_accuracy: 0.3154
Epoch 8175/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.5831e-07 - accuracy: 1.0000 - val_loss: 17.1271 - val_accuracy: 0.3154
Epoch 8176/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.5664e-07 - accuracy: 1.0000 - val_loss: 17.1313 - val_accuracy: 0.3155
Epoch 8177/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.5473e-07 - accuracy: 1.0000 - val_loss: 17.1363 - val_accuracy: 0.3155
Epoch 8178/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.5593e-07 - accuracy: 1.0000 - val_loss: 17.1412 - val_accuracy: 0.3154
Epoch 8179/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.5473e-07 - accuracy: 1.0000 - val_loss: 17.1448 - val_accuracy: 0.3158
Epoch 8180/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.5402e-07 - accuracy: 1.0000 - val_loss: 17.1488 - val_accuracy: 0.3158
Epoch 8181/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.5187e-07 - accuracy: 1.0000 - val_loss: 17.1541 - val_accuracy: 0.3156
Epoch 8182/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.5020e-07 - accuracy: 1.0000 - val_loss: 17.1592 - val_accuracy: 0.3156
Epoch 8183/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.4925e-07 - accuracy: 1.0000 - val_loss: 17.1635 - val_accuracy: 0.3157
Epoch 8184/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.4901e-07 - accuracy: 1.0000 - val_loss: 17.1673 - val_accuracy: 0.3157
Epoch 8185/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.4591e-07 - accuracy: 1.0000 - val_loss: 17.1715 - val_accuracy: 0.3156
Epoch 8186/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.4544e-07 - accuracy: 1.0000 - val_loss: 17.1769 - val_accuracy: 0.3154
Epoch 8187/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.4496e-07 - accuracy: 1.0000 - val_loss: 17.1800 - val_accuracy: 0.3154
Epoch 8188/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.4353e-07 - accuracy: 1.0000 - val_loss: 17.1849 - val_accuracy: 0.3153
Epoch 8189/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.4234e-07 - accuracy: 1.0000 - val_loss: 17.1901 - val_accuracy: 0.3153
Epoch 8190/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.4162e-07 - accuracy: 1.0000 - val_loss: 17.1935 - val_accuracy: 0.3154
Epoch 8191/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.3947e-07 - accuracy: 1.0000 - val_loss: 17.1979 - val_accuracy: 0.3156
Epoch 8192/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.3900e-07 - accuracy: 1.0000 - val_loss: 17.2012 - val_accuracy: 0.3157
Epoch 8193/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.3757e-07 - accuracy: 1.0000 - val_loss: 17.2045 - val_accuracy: 0.3158
Epoch 8194/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.3590e-07 - accuracy: 1.0000 - val_loss: 17.2099 - val_accuracy: 0.3158
Epoch 8195/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.3542e-07 - accuracy: 1.0000 - val_loss: 17.2152 - val_accuracy: 0.3155
Epoch 8196/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.3351e-07 - accuracy: 1.0000 - val_loss: 17.2198 - val_accuracy: 0.3156
Epoch 8197/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.3185e-07 - accuracy: 1.0000 - val_loss: 17.2237 - val_accuracy: 0.3158
Epoch 8198/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.3113e-07 - accuracy: 1.0000 - val_loss: 17.2282 - val_accuracy: 0.3157
Epoch 8199/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.3089e-07 - accuracy: 1.0000 - val_loss: 17.2326 - val_accuracy: 0.3158
Epoch 8200/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.2970e-07 - accuracy: 1.0000 - val_loss: 17.2386 - val_accuracy: 0.3157
Epoch 8201/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.2922e-07 - accuracy: 1.0000 - val_loss: 17.2419 - val_accuracy: 0.3156
Epoch 8202/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.2898e-07 - accuracy: 1.0000 - val_loss: 17.2466 - val_accuracy: 0.3154
Epoch 8203/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.2755e-07 - accuracy: 1.0000 - val_loss: 17.2512 - val_accuracy: 0.3155
Epoch 8204/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.2612e-07 - accuracy: 1.0000 - val_loss: 17.2557 - val_accuracy: 0.3153
Epoch 8205/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.2541e-07 - accuracy: 1.0000 - val_loss: 17.2594 - val_accuracy: 0.3154
Epoch 8206/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.2422e-07 - accuracy: 1.0000 - val_loss: 17.2640 - val_accuracy: 0.3154
Epoch 8207/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.2302e-07 - accuracy: 1.0000 - val_loss: 17.2683 - val_accuracy: 0.3154
Epoch 8208/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.2159e-07 - accuracy: 1.0000 - val_loss: 17.2736 - val_accuracy: 0.3155
Epoch 8209/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.2112e-07 - accuracy: 1.0000 - val_loss: 17.2776 - val_accuracy: 0.3159
Epoch 8210/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.1969e-07 - accuracy: 1.0000 - val_loss: 17.2822 - val_accuracy: 0.3155
Epoch 8211/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.2064e-07 - accuracy: 1.0000 - val_loss: 17.2878 - val_accuracy: 0.3156
Epoch 8212/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.1945e-07 - accuracy: 1.0000 - val_loss: 17.2923 - val_accuracy: 0.3155
Epoch 8213/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.1921e-07 - accuracy: 1.0000 - val_loss: 17.2966 - val_accuracy: 0.3155
Epoch 8214/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.1826e-07 - accuracy: 1.0000 - val_loss: 17.3013 - val_accuracy: 0.3154
Epoch 8215/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.1754e-07 - accuracy: 1.0000 - val_loss: 17.3045 - val_accuracy: 0.3155
Epoch 8216/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.1611e-07 - accuracy: 1.0000 - val_loss: 17.3095 - val_accuracy: 0.3153
Epoch 8217/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.1635e-07 - accuracy: 1.0000 - val_loss: 17.3141 - val_accuracy: 0.3156
Epoch 8218/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.1444e-07 - accuracy: 1.0000 - val_loss: 17.3182 - val_accuracy: 0.3154
Epoch 8219/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.1349e-07 - accuracy: 1.0000 - val_loss: 17.3224 - val_accuracy: 0.3154
Epoch 8220/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.1373e-07 - accuracy: 1.0000 - val_loss: 17.3249 - val_accuracy: 0.3155
Epoch 8221/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.1182e-07 - accuracy: 1.0000 - val_loss: 17.3298 - val_accuracy: 0.3156
Epoch 8222/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.1063e-07 - accuracy: 1.0000 - val_loss: 17.3338 - val_accuracy: 0.3155
Epoch 8223/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.1039e-07 - accuracy: 1.0000 - val_loss: 17.3386 - val_accuracy: 0.3155
Epoch 8224/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.0872e-07 - accuracy: 1.0000 - val_loss: 17.3433 - val_accuracy: 0.3155
Epoch 8225/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.0848e-07 - accuracy: 1.0000 - val_loss: 17.3471 - val_accuracy: 0.3155
Epoch 8226/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0705e-07 - accuracy: 1.0000 - val_loss: 17.3513 - val_accuracy: 0.3155
Epoch 8227/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.0705e-07 - accuracy: 1.0000 - val_loss: 17.3562 - val_accuracy: 0.3155
Epoch 8228/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0562e-07 - accuracy: 1.0000 - val_loss: 17.3610 - val_accuracy: 0.3154
Epoch 8229/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.0467e-07 - accuracy: 1.0000 - val_loss: 17.3651 - val_accuracy: 0.3154
Epoch 8230/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.0395e-07 - accuracy: 1.0000 - val_loss: 17.3696 - val_accuracy: 0.3155
Epoch 8231/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0395e-07 - accuracy: 1.0000 - val_loss: 17.3731 - val_accuracy: 0.3157
Epoch 8232/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0276e-07 - accuracy: 1.0000 - val_loss: 17.3774 - val_accuracy: 0.3157
Epoch 8233/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0204e-07 - accuracy: 1.0000 - val_loss: 17.3811 - val_accuracy: 0.3159
Epoch 8234/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.0109e-07 - accuracy: 1.0000 - val_loss: 17.3863 - val_accuracy: 0.3157
Epoch 8235/10000
16/16 [==============================] - 1s 42ms/step - loss: 9.9659e-08 - accuracy: 1.0000 - val_loss: 17.3915 - val_accuracy: 0.3161
Epoch 8236/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.7752e-08 - accuracy: 1.0000 - val_loss: 17.3970 - val_accuracy: 0.3160
Epoch 8237/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.8228e-08 - accuracy: 1.0000 - val_loss: 17.4023 - val_accuracy: 0.3159
Epoch 8238/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.6083e-08 - accuracy: 1.0000 - val_loss: 17.4067 - val_accuracy: 0.3155
Epoch 8239/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.6083e-08 - accuracy: 1.0000 - val_loss: 17.4123 - val_accuracy: 0.3159
Epoch 8240/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.5606e-08 - accuracy: 1.0000 - val_loss: 17.4164 - val_accuracy: 0.3157
Epoch 8241/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.4652e-08 - accuracy: 1.0000 - val_loss: 17.4202 - val_accuracy: 0.3156
Epoch 8242/10000
16/16 [==============================] - 1s 38ms/step - loss: 9.3937e-08 - accuracy: 1.0000 - val_loss: 17.4264 - val_accuracy: 0.3155
Epoch 8243/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.3460e-08 - accuracy: 1.0000 - val_loss: 17.4304 - val_accuracy: 0.3150
Epoch 8244/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.2030e-08 - accuracy: 1.0000 - val_loss: 17.4365 - val_accuracy: 0.3152
Epoch 8245/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.1076e-08 - accuracy: 1.0000 - val_loss: 17.4401 - val_accuracy: 0.3153
Epoch 8246/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.0122e-08 - accuracy: 1.0000 - val_loss: 17.4470 - val_accuracy: 0.3151
Epoch 8247/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.9884e-08 - accuracy: 1.0000 - val_loss: 17.4523 - val_accuracy: 0.3150
Epoch 8248/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.9407e-08 - accuracy: 1.0000 - val_loss: 17.4563 - val_accuracy: 0.3151
Epoch 8249/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.8215e-08 - accuracy: 1.0000 - val_loss: 17.4623 - val_accuracy: 0.3151
Epoch 8250/10000
16/16 [==============================] - 1s 42ms/step - loss: 8.7976e-08 - accuracy: 1.0000 - val_loss: 17.4673 - val_accuracy: 0.3151
Epoch 8251/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.7738e-08 - accuracy: 1.0000 - val_loss: 17.4720 - val_accuracy: 0.3152
Epoch 8252/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.6308e-08 - accuracy: 1.0000 - val_loss: 17.4780 - val_accuracy: 0.3150
Epoch 8253/10000
16/16 [==============================] - 1s 41ms/step - loss: 8.6784e-08 - accuracy: 1.0000 - val_loss: 17.4830 - val_accuracy: 0.3152
Epoch 8254/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.4877e-08 - accuracy: 1.0000 - val_loss: 17.4869 - val_accuracy: 0.3152
Epoch 8255/10000
16/16 [==============================] - 1s 41ms/step - loss: 8.4162e-08 - accuracy: 1.0000 - val_loss: 17.4925 - val_accuracy: 0.3152
Epoch 8256/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.2493e-08 - accuracy: 1.0000 - val_loss: 17.4985 - val_accuracy: 0.3151
Epoch 8257/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.2970e-08 - accuracy: 1.0000 - val_loss: 17.5033 - val_accuracy: 0.3151
Epoch 8258/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.1301e-08 - accuracy: 1.0000 - val_loss: 17.5087 - val_accuracy: 0.3152
Epoch 8259/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.9632e-08 - accuracy: 1.0000 - val_loss: 17.5139 - val_accuracy: 0.3153
Epoch 8260/10000
16/16 [==============================] - 1s 41ms/step - loss: 8.0109e-08 - accuracy: 1.0000 - val_loss: 17.5200 - val_accuracy: 0.3149
Epoch 8261/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.8917e-08 - accuracy: 1.0000 - val_loss: 17.5253 - val_accuracy: 0.3150
Epoch 8262/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.9155e-08 - accuracy: 1.0000 - val_loss: 17.5306 - val_accuracy: 0.3147
Epoch 8263/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.7963e-08 - accuracy: 1.0000 - val_loss: 17.5354 - val_accuracy: 0.3147
Epoch 8264/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.6771e-08 - accuracy: 1.0000 - val_loss: 17.5407 - val_accuracy: 0.3146
Epoch 8265/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.5817e-08 - accuracy: 1.0000 - val_loss: 17.5470 - val_accuracy: 0.3150
Epoch 8266/10000
16/16 [==============================] - 1s 38ms/step - loss: 7.5340e-08 - accuracy: 1.0000 - val_loss: 17.5543 - val_accuracy: 0.3148
Epoch 8267/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.4625e-08 - accuracy: 1.0000 - val_loss: 17.5567 - val_accuracy: 0.3149
Epoch 8268/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.4387e-08 - accuracy: 1.0000 - val_loss: 17.5606 - val_accuracy: 0.3147
Epoch 8269/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.3433e-08 - accuracy: 1.0000 - val_loss: 17.5681 - val_accuracy: 0.3146
Epoch 8270/10000
16/16 [==============================] - 1s 41ms/step - loss: 7.2956e-08 - accuracy: 1.0000 - val_loss: 17.5739 - val_accuracy: 0.3145
Epoch 8271/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.2002e-08 - accuracy: 1.0000 - val_loss: 17.5803 - val_accuracy: 0.3144
Epoch 8272/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.1287e-08 - accuracy: 1.0000 - val_loss: 17.5860 - val_accuracy: 0.3146
Epoch 8273/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.0810e-08 - accuracy: 1.0000 - val_loss: 17.5933 - val_accuracy: 0.3145
Epoch 8274/10000
16/16 [==============================] - 1s 41ms/step - loss: 6.9857e-08 - accuracy: 1.0000 - val_loss: 17.5980 - val_accuracy: 0.3145
Epoch 8275/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.9141e-08 - accuracy: 1.0000 - val_loss: 17.6023 - val_accuracy: 0.3147
Epoch 8276/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.8665e-08 - accuracy: 1.0000 - val_loss: 17.6070 - val_accuracy: 0.3146
Epoch 8277/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.7234e-08 - accuracy: 1.0000 - val_loss: 17.6123 - val_accuracy: 0.3145
Epoch 8278/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.6757e-08 - accuracy: 1.0000 - val_loss: 17.6200 - val_accuracy: 0.3143
Epoch 8279/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.7234e-08 - accuracy: 1.0000 - val_loss: 17.6255 - val_accuracy: 0.3143
Epoch 8280/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.6757e-08 - accuracy: 1.0000 - val_loss: 17.6313 - val_accuracy: 0.3143
Epoch 8281/10000
16/16 [==============================] - 1s 41ms/step - loss: 6.4611e-08 - accuracy: 1.0000 - val_loss: 17.6372 - val_accuracy: 0.3139
Epoch 8282/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.3896e-08 - accuracy: 1.0000 - val_loss: 17.6423 - val_accuracy: 0.3139
Epoch 8283/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.3658e-08 - accuracy: 1.0000 - val_loss: 17.6488 - val_accuracy: 0.3139
Epoch 8284/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.3896e-08 - accuracy: 1.0000 - val_loss: 17.6542 - val_accuracy: 0.3139
Epoch 8285/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.3419e-08 - accuracy: 1.0000 - val_loss: 17.6594 - val_accuracy: 0.3139
Epoch 8286/10000
16/16 [==============================] - 1s 41ms/step - loss: 6.3419e-08 - accuracy: 1.0000 - val_loss: 17.6665 - val_accuracy: 0.3141
Epoch 8287/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.2466e-08 - accuracy: 1.0000 - val_loss: 17.6711 - val_accuracy: 0.3140
Epoch 8288/10000
16/16 [==============================] - 1s 41ms/step - loss: 6.1750e-08 - accuracy: 1.0000 - val_loss: 17.6772 - val_accuracy: 0.3137
Epoch 8289/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.0797e-08 - accuracy: 1.0000 - val_loss: 17.6817 - val_accuracy: 0.3138
Epoch 8290/10000
16/16 [==============================] - 1s 41ms/step - loss: 6.0558e-08 - accuracy: 1.0000 - val_loss: 17.6895 - val_accuracy: 0.3137
Epoch 8291/10000
16/16 [==============================] - 1s 41ms/step - loss: 5.9366e-08 - accuracy: 1.0000 - val_loss: 17.6936 - val_accuracy: 0.3139
Epoch 8292/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.8651e-08 - accuracy: 1.0000 - val_loss: 17.7005 - val_accuracy: 0.3139
Epoch 8293/10000
16/16 [==============================] - 1s 43ms/step - loss: 5.9605e-08 - accuracy: 1.0000 - val_loss: 17.7073 - val_accuracy: 0.3139
Epoch 8294/10000
16/16 [==============================] - 1s 41ms/step - loss: 5.8413e-08 - accuracy: 1.0000 - val_loss: 17.7114 - val_accuracy: 0.3139
Epoch 8295/10000
16/16 [==============================] - 1s 42ms/step - loss: 5.7459e-08 - accuracy: 1.0000 - val_loss: 17.7180 - val_accuracy: 0.3140
Epoch 8296/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.7459e-08 - accuracy: 1.0000 - val_loss: 17.7239 - val_accuracy: 0.3141
Epoch 8297/10000
16/16 [==============================] - 1s 41ms/step - loss: 5.5790e-08 - accuracy: 1.0000 - val_loss: 17.7288 - val_accuracy: 0.3139
Epoch 8298/10000
16/16 [==============================] - 1s 42ms/step - loss: 5.5790e-08 - accuracy: 1.0000 - val_loss: 17.7361 - val_accuracy: 0.3140
Epoch 8299/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.5075e-08 - accuracy: 1.0000 - val_loss: 17.7432 - val_accuracy: 0.3140
Epoch 8300/10000
16/16 [==============================] - 1s 41ms/step - loss: 5.5790e-08 - accuracy: 1.0000 - val_loss: 17.7485 - val_accuracy: 0.3140
Epoch 8301/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.5075e-08 - accuracy: 1.0000 - val_loss: 17.7516 - val_accuracy: 0.3139
Epoch 8302/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.4121e-08 - accuracy: 1.0000 - val_loss: 17.7602 - val_accuracy: 0.3140
Epoch 8303/10000
16/16 [==============================] - 1s 41ms/step - loss: 5.3167e-08 - accuracy: 1.0000 - val_loss: 17.7660 - val_accuracy: 0.3140
Epoch 8304/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.3406e-08 - accuracy: 1.0000 - val_loss: 17.7712 - val_accuracy: 0.3140
Epoch 8305/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.2929e-08 - accuracy: 1.0000 - val_loss: 17.7779 - val_accuracy: 0.3141
Epoch 8306/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.2214e-08 - accuracy: 1.0000 - val_loss: 17.7835 - val_accuracy: 0.3141
Epoch 8307/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.0545e-08 - accuracy: 1.0000 - val_loss: 17.7905 - val_accuracy: 0.3140
Epoch 8308/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.0306e-08 - accuracy: 1.0000 - val_loss: 17.7973 - val_accuracy: 0.3139
Epoch 8309/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.1022e-08 - accuracy: 1.0000 - val_loss: 17.8026 - val_accuracy: 0.3141
Epoch 8310/10000
16/16 [==============================] - 1s 43ms/step - loss: 5.0545e-08 - accuracy: 1.0000 - val_loss: 17.8087 - val_accuracy: 0.3144
Epoch 8311/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.0306e-08 - accuracy: 1.0000 - val_loss: 17.8147 - val_accuracy: 0.3144
Epoch 8312/10000
16/16 [==============================] - 1s 42ms/step - loss: 5.0783e-08 - accuracy: 1.0000 - val_loss: 17.8215 - val_accuracy: 0.3144
Epoch 8313/10000
16/16 [==============================] - 1s 38ms/step - loss: 4.9114e-08 - accuracy: 1.0000 - val_loss: 17.8258 - val_accuracy: 0.3144
Epoch 8314/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.8637e-08 - accuracy: 1.0000 - val_loss: 17.8321 - val_accuracy: 0.3143
Epoch 8315/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.9114e-08 - accuracy: 1.0000 - val_loss: 17.8372 - val_accuracy: 0.3142
Epoch 8316/10000
16/16 [==============================] - 1s 41ms/step - loss: 4.8399e-08 - accuracy: 1.0000 - val_loss: 17.8433 - val_accuracy: 0.3141
Epoch 8317/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.9114e-08 - accuracy: 1.0000 - val_loss: 17.8515 - val_accuracy: 0.3142
Epoch 8318/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.7445e-08 - accuracy: 1.0000 - val_loss: 17.8556 - val_accuracy: 0.3141
Epoch 8319/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.7207e-08 - accuracy: 1.0000 - val_loss: 17.8621 - val_accuracy: 0.3142
Epoch 8320/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.6492e-08 - accuracy: 1.0000 - val_loss: 17.8661 - val_accuracy: 0.3139
Epoch 8321/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.5538e-08 - accuracy: 1.0000 - val_loss: 17.8729 - val_accuracy: 0.3145
Epoch 8322/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.5300e-08 - accuracy: 1.0000 - val_loss: 17.8800 - val_accuracy: 0.3143
Epoch 8323/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.4346e-08 - accuracy: 1.0000 - val_loss: 17.8867 - val_accuracy: 0.3140
Epoch 8324/10000
16/16 [==============================] - 1s 41ms/step - loss: 4.3869e-08 - accuracy: 1.0000 - val_loss: 17.8936 - val_accuracy: 0.3140
Epoch 8325/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.3631e-08 - accuracy: 1.0000 - val_loss: 17.8972 - val_accuracy: 0.3138
Epoch 8326/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.2915e-08 - accuracy: 1.0000 - val_loss: 17.9046 - val_accuracy: 0.3137
Epoch 8327/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.2915e-08 - accuracy: 1.0000 - val_loss: 17.9109 - val_accuracy: 0.3139
Epoch 8328/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.2915e-08 - accuracy: 1.0000 - val_loss: 17.9170 - val_accuracy: 0.3140
Epoch 8329/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.1723e-08 - accuracy: 1.0000 - val_loss: 17.9250 - val_accuracy: 0.3140
Epoch 8330/10000
16/16 [==============================] - 1s 41ms/step - loss: 4.1246e-08 - accuracy: 1.0000 - val_loss: 17.9296 - val_accuracy: 0.3142
Epoch 8331/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.9816e-08 - accuracy: 1.0000 - val_loss: 17.9355 - val_accuracy: 0.3145
Epoch 8332/10000
16/16 [==============================] - 1s 41ms/step - loss: 4.0531e-08 - accuracy: 1.0000 - val_loss: 17.9438 - val_accuracy: 0.3143
Epoch 8333/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.9101e-08 - accuracy: 1.0000 - val_loss: 17.9493 - val_accuracy: 0.3142
Epoch 8334/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.9339e-08 - accuracy: 1.0000 - val_loss: 17.9567 - val_accuracy: 0.3144
Epoch 8335/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.9101e-08 - accuracy: 1.0000 - val_loss: 17.9617 - val_accuracy: 0.3148
Epoch 8336/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.8624e-08 - accuracy: 1.0000 - val_loss: 17.9684 - val_accuracy: 0.3149
Epoch 8337/10000
16/16 [==============================] - 1s 38ms/step - loss: 3.7909e-08 - accuracy: 1.0000 - val_loss: 17.9742 - val_accuracy: 0.3148
Epoch 8338/10000
16/16 [==============================] - 1s 41ms/step - loss: 3.7670e-08 - accuracy: 1.0000 - val_loss: 17.9830 - val_accuracy: 0.3147
Epoch 8339/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.7432e-08 - accuracy: 1.0000 - val_loss: 17.9900 - val_accuracy: 0.3148
Epoch 8340/10000
16/16 [==============================] - 1s 42ms/step - loss: 3.7193e-08 - accuracy: 1.0000 - val_loss: 17.9960 - val_accuracy: 0.3146
Epoch 8341/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.7193e-08 - accuracy: 1.0000 - val_loss: 18.0054 - val_accuracy: 0.3147
Epoch 8342/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.6716e-08 - accuracy: 1.0000 - val_loss: 18.0092 - val_accuracy: 0.3147
Epoch 8343/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.5524e-08 - accuracy: 1.0000 - val_loss: 18.0163 - val_accuracy: 0.3149
Epoch 8344/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.5286e-08 - accuracy: 1.0000 - val_loss: 18.0244 - val_accuracy: 0.3147
Epoch 8345/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.5048e-08 - accuracy: 1.0000 - val_loss: 18.0330 - val_accuracy: 0.3148
Epoch 8346/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.4809e-08 - accuracy: 1.0000 - val_loss: 18.0406 - val_accuracy: 0.3148
Epoch 8347/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.5524e-08 - accuracy: 1.0000 - val_loss: 18.0463 - val_accuracy: 0.3150
Epoch 8348/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.5286e-08 - accuracy: 1.0000 - val_loss: 18.0554 - val_accuracy: 0.3149
Epoch 8349/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.4571e-08 - accuracy: 1.0000 - val_loss: 18.0627 - val_accuracy: 0.3147
Epoch 8350/10000
16/16 [==============================] - 1s 38ms/step - loss: 3.4571e-08 - accuracy: 1.0000 - val_loss: 18.0706 - val_accuracy: 0.3147
Epoch 8351/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.4809e-08 - accuracy: 1.0000 - val_loss: 18.0770 - val_accuracy: 0.3147
Epoch 8352/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.4332e-08 - accuracy: 1.0000 - val_loss: 18.0844 - val_accuracy: 0.3150
Epoch 8353/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.2187e-08 - accuracy: 1.0000 - val_loss: 18.0909 - val_accuracy: 0.3149
Epoch 8354/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.1948e-08 - accuracy: 1.0000 - val_loss: 18.0983 - val_accuracy: 0.3150
Epoch 8355/10000
16/16 [==============================] - 1s 41ms/step - loss: 3.1948e-08 - accuracy: 1.0000 - val_loss: 18.1053 - val_accuracy: 0.3150
Epoch 8356/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.1710e-08 - accuracy: 1.0000 - val_loss: 18.1147 - val_accuracy: 0.3145
Epoch 8357/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.1948e-08 - accuracy: 1.0000 - val_loss: 18.1213 - val_accuracy: 0.3146
Epoch 8358/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.1710e-08 - accuracy: 1.0000 - val_loss: 18.1290 - val_accuracy: 0.3146
Epoch 8359/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.1471e-08 - accuracy: 1.0000 - val_loss: 18.1365 - val_accuracy: 0.3147
Epoch 8360/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.0756e-08 - accuracy: 1.0000 - val_loss: 18.1426 - val_accuracy: 0.3151
Epoch 8361/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.9087e-08 - accuracy: 1.0000 - val_loss: 18.1524 - val_accuracy: 0.3152
Epoch 8362/10000
16/16 [==============================] - 1s 38ms/step - loss: 3.0518e-08 - accuracy: 1.0000 - val_loss: 18.1600 - val_accuracy: 0.3149
Epoch 8363/10000
16/16 [==============================] - 1s 41ms/step - loss: 3.0041e-08 - accuracy: 1.0000 - val_loss: 18.1646 - val_accuracy: 0.3151
Epoch 8364/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.9325e-08 - accuracy: 1.0000 - val_loss: 18.1723 - val_accuracy: 0.3148
Epoch 8365/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.9802e-08 - accuracy: 1.0000 - val_loss: 18.1803 - val_accuracy: 0.3146
Epoch 8366/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.8849e-08 - accuracy: 1.0000 - val_loss: 18.1868 - val_accuracy: 0.3149
Epoch 8367/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.9087e-08 - accuracy: 1.0000 - val_loss: 18.1941 - val_accuracy: 0.3149
Epoch 8368/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.8849e-08 - accuracy: 1.0000 - val_loss: 18.1996 - val_accuracy: 0.3147
Epoch 8369/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.7657e-08 - accuracy: 1.0000 - val_loss: 18.2092 - val_accuracy: 0.3147
Epoch 8370/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.8372e-08 - accuracy: 1.0000 - val_loss: 18.2187 - val_accuracy: 0.3146
Epoch 8371/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.8610e-08 - accuracy: 1.0000 - val_loss: 18.2244 - val_accuracy: 0.3149
Epoch 8372/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.7418e-08 - accuracy: 1.0000 - val_loss: 18.2308 - val_accuracy: 0.3147
Epoch 8373/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.7418e-08 - accuracy: 1.0000 - val_loss: 18.2379 - val_accuracy: 0.3144
Epoch 8374/10000
16/16 [==============================] - 1s 42ms/step - loss: 2.6464e-08 - accuracy: 1.0000 - val_loss: 18.2492 - val_accuracy: 0.3146
Epoch 8375/10000
16/16 [==============================] - 1s 42ms/step - loss: 2.6464e-08 - accuracy: 1.0000 - val_loss: 18.2567 - val_accuracy: 0.3146
Epoch 8376/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.7657e-08 - accuracy: 1.0000 - val_loss: 18.2640 - val_accuracy: 0.3146
Epoch 8377/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.5749e-08 - accuracy: 1.0000 - val_loss: 18.2717 - val_accuracy: 0.3145
Epoch 8378/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.5749e-08 - accuracy: 1.0000 - val_loss: 18.2805 - val_accuracy: 0.3146
Epoch 8379/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.5034e-08 - accuracy: 1.0000 - val_loss: 18.2893 - val_accuracy: 0.3142
Epoch 8380/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.5034e-08 - accuracy: 1.0000 - val_loss: 18.2975 - val_accuracy: 0.3144
Epoch 8381/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.5272e-08 - accuracy: 1.0000 - val_loss: 18.3055 - val_accuracy: 0.3143
Epoch 8382/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.5272e-08 - accuracy: 1.0000 - val_loss: 18.3120 - val_accuracy: 0.3144
Epoch 8383/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.3603e-08 - accuracy: 1.0000 - val_loss: 18.3208 - val_accuracy: 0.3144
Epoch 8384/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.3842e-08 - accuracy: 1.0000 - val_loss: 18.3301 - val_accuracy: 0.3144
Epoch 8385/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.4080e-08 - accuracy: 1.0000 - val_loss: 18.3409 - val_accuracy: 0.3146
Epoch 8386/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.3842e-08 - accuracy: 1.0000 - val_loss: 18.3469 - val_accuracy: 0.3143
Epoch 8387/10000
16/16 [==============================] - 1s 38ms/step - loss: 2.4319e-08 - accuracy: 1.0000 - val_loss: 18.3551 - val_accuracy: 0.3145
Epoch 8388/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.3842e-08 - accuracy: 1.0000 - val_loss: 18.3612 - val_accuracy: 0.3146
Epoch 8389/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.3365e-08 - accuracy: 1.0000 - val_loss: 18.3680 - val_accuracy: 0.3149
Epoch 8390/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.3127e-08 - accuracy: 1.0000 - val_loss: 18.3785 - val_accuracy: 0.3145
Epoch 8391/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.1935e-08 - accuracy: 1.0000 - val_loss: 18.3870 - val_accuracy: 0.3143
Epoch 8392/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.2650e-08 - accuracy: 1.0000 - val_loss: 18.3930 - val_accuracy: 0.3143
Epoch 8393/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.1219e-08 - accuracy: 1.0000 - val_loss: 18.4029 - val_accuracy: 0.3145
Epoch 8394/10000
16/16 [==============================] - 1s 42ms/step - loss: 2.2173e-08 - accuracy: 1.0000 - val_loss: 18.4125 - val_accuracy: 0.3145
Epoch 8395/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.0742e-08 - accuracy: 1.0000 - val_loss: 18.4273 - val_accuracy: 0.3143
Epoch 8396/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.1458e-08 - accuracy: 1.0000 - val_loss: 18.4353 - val_accuracy: 0.3144
Epoch 8397/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.0504e-08 - accuracy: 1.0000 - val_loss: 18.4423 - val_accuracy: 0.3145
Epoch 8398/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.0981e-08 - accuracy: 1.0000 - val_loss: 18.4502 - val_accuracy: 0.3145
Epoch 8399/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.0504e-08 - accuracy: 1.0000 - val_loss: 18.4619 - val_accuracy: 0.3143
Epoch 8400/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.0981e-08 - accuracy: 1.0000 - val_loss: 18.4704 - val_accuracy: 0.3145
Epoch 8401/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.0027e-08 - accuracy: 1.0000 - val_loss: 18.4781 - val_accuracy: 0.3141
Epoch 8402/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.9550e-08 - accuracy: 1.0000 - val_loss: 18.4855 - val_accuracy: 0.3143
Epoch 8403/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.9550e-08 - accuracy: 1.0000 - val_loss: 18.4958 - val_accuracy: 0.3141
Epoch 8404/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.0504e-08 - accuracy: 1.0000 - val_loss: 18.5044 - val_accuracy: 0.3142
Epoch 8405/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.9789e-08 - accuracy: 1.0000 - val_loss: 18.5133 - val_accuracy: 0.3139
Epoch 8406/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.8835e-08 - accuracy: 1.0000 - val_loss: 18.5206 - val_accuracy: 0.3140
Epoch 8407/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.7881e-08 - accuracy: 1.0000 - val_loss: 18.5304 - val_accuracy: 0.3141
Epoch 8408/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.8120e-08 - accuracy: 1.0000 - val_loss: 18.5401 - val_accuracy: 0.3142
Epoch 8409/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.9073e-08 - accuracy: 1.0000 - val_loss: 18.5484 - val_accuracy: 0.3140
Epoch 8410/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.7643e-08 - accuracy: 1.0000 - val_loss: 18.5567 - val_accuracy: 0.3138
Epoch 8411/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.6689e-08 - accuracy: 1.0000 - val_loss: 18.5683 - val_accuracy: 0.3141
Epoch 8412/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.7166e-08 - accuracy: 1.0000 - val_loss: 18.5791 - val_accuracy: 0.3143
Epoch 8413/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.6689e-08 - accuracy: 1.0000 - val_loss: 18.5901 - val_accuracy: 0.3144
Epoch 8414/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.6928e-08 - accuracy: 1.0000 - val_loss: 18.6019 - val_accuracy: 0.3147
Epoch 8415/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.6689e-08 - accuracy: 1.0000 - val_loss: 18.6118 - val_accuracy: 0.3147
Epoch 8416/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.6928e-08 - accuracy: 1.0000 - val_loss: 18.6221 - val_accuracy: 0.3148
Epoch 8417/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.5974e-08 - accuracy: 1.0000 - val_loss: 18.6334 - val_accuracy: 0.3147
Epoch 8418/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.6212e-08 - accuracy: 1.0000 - val_loss: 18.6442 - val_accuracy: 0.3149
Epoch 8419/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.6212e-08 - accuracy: 1.0000 - val_loss: 18.6562 - val_accuracy: 0.3142
Epoch 8420/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.6212e-08 - accuracy: 1.0000 - val_loss: 18.6682 - val_accuracy: 0.3141
Epoch 8421/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.5974e-08 - accuracy: 1.0000 - val_loss: 18.6807 - val_accuracy: 0.3143
Epoch 8422/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.5259e-08 - accuracy: 1.0000 - val_loss: 18.6926 - val_accuracy: 0.3144
Epoch 8423/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.4544e-08 - accuracy: 1.0000 - val_loss: 18.7060 - val_accuracy: 0.3144
Epoch 8424/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.4782e-08 - accuracy: 1.0000 - val_loss: 18.7180 - val_accuracy: 0.3147
Epoch 8425/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.4544e-08 - accuracy: 1.0000 - val_loss: 18.7316 - val_accuracy: 0.3149
Epoch 8426/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.4544e-08 - accuracy: 1.0000 - val_loss: 18.7439 - val_accuracy: 0.3144
Epoch 8427/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.5259e-08 - accuracy: 1.0000 - val_loss: 18.7593 - val_accuracy: 0.3141
Epoch 8428/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.4305e-08 - accuracy: 1.0000 - val_loss: 18.7715 - val_accuracy: 0.3137
Epoch 8429/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.5020e-08 - accuracy: 1.0000 - val_loss: 18.7810 - val_accuracy: 0.3139
Epoch 8430/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.3590e-08 - accuracy: 1.0000 - val_loss: 18.7944 - val_accuracy: 0.3139
Epoch 8431/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.4067e-08 - accuracy: 1.0000 - val_loss: 18.8089 - val_accuracy: 0.3140
Epoch 8432/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.4305e-08 - accuracy: 1.0000 - val_loss: 18.8196 - val_accuracy: 0.3143
Epoch 8433/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.4305e-08 - accuracy: 1.0000 - val_loss: 18.8307 - val_accuracy: 0.3142
Epoch 8434/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.3590e-08 - accuracy: 1.0000 - val_loss: 18.8446 - val_accuracy: 0.3139
Epoch 8435/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.3828e-08 - accuracy: 1.0000 - val_loss: 18.8570 - val_accuracy: 0.3141
Epoch 8436/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.3113e-08 - accuracy: 1.0000 - val_loss: 18.8692 - val_accuracy: 0.3140
Epoch 8437/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.2875e-08 - accuracy: 1.0000 - val_loss: 18.8798 - val_accuracy: 0.3138
Epoch 8438/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.3828e-08 - accuracy: 1.0000 - val_loss: 18.8911 - val_accuracy: 0.3139
Epoch 8439/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.2636e-08 - accuracy: 1.0000 - val_loss: 18.9078 - val_accuracy: 0.3140
Epoch 8440/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.3113e-08 - accuracy: 1.0000 - val_loss: 18.9209 - val_accuracy: 0.3136
Epoch 8441/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.2875e-08 - accuracy: 1.0000 - val_loss: 18.9302 - val_accuracy: 0.3134
Epoch 8442/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.3590e-08 - accuracy: 1.0000 - val_loss: 18.9385 - val_accuracy: 0.3135
Epoch 8443/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.1921e-08 - accuracy: 1.0000 - val_loss: 18.9555 - val_accuracy: 0.3137
Epoch 8444/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.2159e-08 - accuracy: 1.0000 - val_loss: 18.9672 - val_accuracy: 0.3137
Epoch 8445/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.1921e-08 - accuracy: 1.0000 - val_loss: 18.9829 - val_accuracy: 0.3139
Epoch 8446/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.2398e-08 - accuracy: 1.0000 - val_loss: 18.9964 - val_accuracy: 0.3138
Epoch 8447/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.1444e-08 - accuracy: 1.0000 - val_loss: 19.0089 - val_accuracy: 0.3138
Epoch 8448/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.1683e-08 - accuracy: 1.0000 - val_loss: 19.0203 - val_accuracy: 0.3140
Epoch 8449/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.1683e-08 - accuracy: 1.0000 - val_loss: 19.0350 - val_accuracy: 0.3141
Epoch 8450/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.1921e-08 - accuracy: 1.0000 - val_loss: 19.0502 - val_accuracy: 0.3138
Epoch 8451/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.2159e-08 - accuracy: 1.0000 - val_loss: 19.0622 - val_accuracy: 0.3144
Epoch 8452/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.1683e-08 - accuracy: 1.0000 - val_loss: 19.0735 - val_accuracy: 0.3140
Epoch 8453/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.1444e-08 - accuracy: 1.0000 - val_loss: 19.0869 - val_accuracy: 0.3142
Epoch 8454/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.1444e-08 - accuracy: 1.0000 - val_loss: 19.1028 - val_accuracy: 0.3144
Epoch 8455/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.1683e-08 - accuracy: 1.0000 - val_loss: 19.1118 - val_accuracy: 0.3144
Epoch 8456/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.1444e-08 - accuracy: 1.0000 - val_loss: 19.1259 - val_accuracy: 0.3141
Epoch 8457/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.1444e-08 - accuracy: 1.0000 - val_loss: 19.1418 - val_accuracy: 0.3138
Epoch 8458/10000
16/16 [==============================] - 1s 47ms/step - loss: 1.0967e-08 - accuracy: 1.0000 - val_loss: 19.1552 - val_accuracy: 0.3142
Epoch 8459/10000
16/16 [==============================] - 1s 47ms/step - loss: 1.1206e-08 - accuracy: 1.0000 - val_loss: 19.1674 - val_accuracy: 0.3137
Epoch 8460/10000
16/16 [==============================] - 1s 47ms/step - loss: 1.1444e-08 - accuracy: 1.0000 - val_loss: 19.1804 - val_accuracy: 0.3133
Epoch 8461/10000
16/16 [==============================] - 1s 46ms/step - loss: 1.0490e-08 - accuracy: 1.0000 - val_loss: 19.1910 - val_accuracy: 0.3137
Epoch 8462/10000
16/16 [==============================] - 1s 47ms/step - loss: 1.1206e-08 - accuracy: 1.0000 - val_loss: 19.2072 - val_accuracy: 0.3135
Epoch 8463/10000
16/16 [==============================] - 1s 45ms/step - loss: 1.1206e-08 - accuracy: 1.0000 - val_loss: 19.2231 - val_accuracy: 0.3136
Epoch 8464/10000
16/16 [==============================] - 1s 47ms/step - loss: 1.0967e-08 - accuracy: 1.0000 - val_loss: 19.2364 - val_accuracy: 0.3134
Epoch 8465/10000
16/16 [==============================] - 1s 47ms/step - loss: 1.0490e-08 - accuracy: 1.0000 - val_loss: 19.2507 - val_accuracy: 0.3131
Epoch 8466/10000
16/16 [==============================] - 1s 48ms/step - loss: 1.0252e-08 - accuracy: 1.0000 - val_loss: 19.2633 - val_accuracy: 0.3134
Epoch 8467/10000
16/16 [==============================] - 1s 46ms/step - loss: 1.0252e-08 - accuracy: 1.0000 - val_loss: 19.2793 - val_accuracy: 0.3132
Epoch 8468/10000
16/16 [==============================] - 1s 49ms/step - loss: 1.0252e-08 - accuracy: 1.0000 - val_loss: 19.2958 - val_accuracy: 0.3133
Epoch 8469/10000
16/16 [==============================] - 1s 49ms/step - loss: 1.1206e-08 - accuracy: 1.0000 - val_loss: 19.3141 - val_accuracy: 0.3131
Epoch 8470/10000
16/16 [==============================] - 1s 48ms/step - loss: 1.0490e-08 - accuracy: 1.0000 - val_loss: 19.3274 - val_accuracy: 0.3132
Epoch 8471/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.0252e-08 - accuracy: 1.0000 - val_loss: 19.3393 - val_accuracy: 0.3131
Epoch 8472/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.1206e-08 - accuracy: 1.0000 - val_loss: 19.3561 - val_accuracy: 0.3135
Epoch 8473/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.0729e-08 - accuracy: 1.0000 - val_loss: 19.3679 - val_accuracy: 0.3134
Epoch 8474/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0014e-08 - accuracy: 1.0000 - val_loss: 19.3846 - val_accuracy: 0.3135
Epoch 8475/10000
16/16 [==============================] - 1s 41ms/step - loss: 9.2983e-09 - accuracy: 1.0000 - val_loss: 19.4006 - val_accuracy: 0.3132
Epoch 8476/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.0490e-08 - accuracy: 1.0000 - val_loss: 19.4162 - val_accuracy: 0.3135
Epoch 8477/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.0014e-08 - accuracy: 1.0000 - val_loss: 19.4321 - val_accuracy: 0.3132
Epoch 8478/10000
16/16 [==============================] - 1s 41ms/step - loss: 9.0599e-09 - accuracy: 1.0000 - val_loss: 19.4498 - val_accuracy: 0.3132
Epoch 8479/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0014e-08 - accuracy: 1.0000 - val_loss: 19.4684 - val_accuracy: 0.3133
Epoch 8480/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0252e-08 - accuracy: 1.0000 - val_loss: 19.4862 - val_accuracy: 0.3132
Epoch 8481/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.0490e-08 - accuracy: 1.0000 - val_loss: 19.4994 - val_accuracy: 0.3132
Epoch 8482/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0490e-08 - accuracy: 1.0000 - val_loss: 19.5120 - val_accuracy: 0.3133
Epoch 8483/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.5367e-09 - accuracy: 1.0000 - val_loss: 19.5326 - val_accuracy: 0.3132
Epoch 8484/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.0252e-08 - accuracy: 1.0000 - val_loss: 19.5507 - val_accuracy: 0.3131
Epoch 8485/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0252e-08 - accuracy: 1.0000 - val_loss: 19.5645 - val_accuracy: 0.3134
Epoch 8486/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.0014e-08 - accuracy: 1.0000 - val_loss: 19.5775 - val_accuracy: 0.3133
Epoch 8487/10000
16/16 [==============================] - 1s 41ms/step - loss: 9.5367e-09 - accuracy: 1.0000 - val_loss: 19.5967 - val_accuracy: 0.3139
Epoch 8488/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0490e-08 - accuracy: 1.0000 - val_loss: 19.6153 - val_accuracy: 0.3137
Epoch 8489/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.0014e-08 - accuracy: 1.0000 - val_loss: 19.6299 - val_accuracy: 0.3140
Epoch 8490/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0490e-08 - accuracy: 1.0000 - val_loss: 19.6438 - val_accuracy: 0.3137
Epoch 8491/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.0490e-08 - accuracy: 1.0000 - val_loss: 19.6626 - val_accuracy: 0.3139
Epoch 8492/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0014e-08 - accuracy: 1.0000 - val_loss: 19.6787 - val_accuracy: 0.3142
Epoch 8493/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.5367e-09 - accuracy: 1.0000 - val_loss: 19.6928 - val_accuracy: 0.3141
Epoch 8494/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.0252e-08 - accuracy: 1.0000 - val_loss: 19.7064 - val_accuracy: 0.3138
Epoch 8495/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.2983e-09 - accuracy: 1.0000 - val_loss: 19.7243 - val_accuracy: 0.3139
Epoch 8496/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.0014e-08 - accuracy: 1.0000 - val_loss: 19.7368 - val_accuracy: 0.3142
Epoch 8497/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.5367e-09 - accuracy: 1.0000 - val_loss: 19.7589 - val_accuracy: 0.3151
Epoch 8498/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.0252e-08 - accuracy: 1.0000 - val_loss: 19.7704 - val_accuracy: 0.3145
Epoch 8499/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0252e-08 - accuracy: 1.0000 - val_loss: 19.7889 - val_accuracy: 0.3144
Epoch 8500/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.0014e-08 - accuracy: 1.0000 - val_loss: 19.7967 - val_accuracy: 0.3144
Epoch 8501/10000
16/16 [==============================] - 1s 41ms/step - loss: 9.5367e-09 - accuracy: 1.0000 - val_loss: 19.8169 - val_accuracy: 0.3146
Epoch 8502/10000
16/16 [==============================] - 1s 41ms/step - loss: 9.2983e-09 - accuracy: 1.0000 - val_loss: 19.8358 - val_accuracy: 0.3147
Epoch 8503/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.0252e-08 - accuracy: 1.0000 - val_loss: 19.8487 - val_accuracy: 0.3145
Epoch 8504/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.7752e-09 - accuracy: 1.0000 - val_loss: 19.8623 - val_accuracy: 0.3144
Epoch 8505/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.7752e-09 - accuracy: 1.0000 - val_loss: 19.8774 - val_accuracy: 0.3148
Epoch 8506/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.3446e-09 - accuracy: 1.0000 - val_loss: 19.8990 - val_accuracy: 0.3145
Epoch 8507/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.0599e-09 - accuracy: 1.0000 - val_loss: 19.9128 - val_accuracy: 0.3141
Epoch 8508/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0490e-08 - accuracy: 1.0000 - val_loss: 19.9288 - val_accuracy: 0.3141
Epoch 8509/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0252e-08 - accuracy: 1.0000 - val_loss: 19.9407 - val_accuracy: 0.3143
Epoch 8510/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.7752e-09 - accuracy: 1.0000 - val_loss: 19.9497 - val_accuracy: 0.3142
Epoch 8511/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.8215e-09 - accuracy: 1.0000 - val_loss: 19.9670 - val_accuracy: 0.3144
Epoch 8512/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.3446e-09 - accuracy: 1.0000 - val_loss: 19.9875 - val_accuracy: 0.3145
Epoch 8513/10000
16/16 [==============================] - 1s 41ms/step - loss: 9.7752e-09 - accuracy: 1.0000 - val_loss: 20.0035 - val_accuracy: 0.3143
Epoch 8514/10000
16/16 [==============================] - 1s 38ms/step - loss: 9.0599e-09 - accuracy: 1.0000 - val_loss: 20.0199 - val_accuracy: 0.3145
Epoch 8515/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.0599e-09 - accuracy: 1.0000 - val_loss: 20.0347 - val_accuracy: 0.3144
Epoch 8516/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.5367e-09 - accuracy: 1.0000 - val_loss: 20.0534 - val_accuracy: 0.3144
Epoch 8517/10000
16/16 [==============================] - 1s 41ms/step - loss: 8.5831e-09 - accuracy: 1.0000 - val_loss: 20.0678 - val_accuracy: 0.3146
Epoch 8518/10000
16/16 [==============================] - 1s 41ms/step - loss: 9.0599e-09 - accuracy: 1.0000 - val_loss: 20.0822 - val_accuracy: 0.3147
Epoch 8519/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.2983e-09 - accuracy: 1.0000 - val_loss: 20.1039 - val_accuracy: 0.3150
Epoch 8520/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.5367e-09 - accuracy: 1.0000 - val_loss: 20.1145 - val_accuracy: 0.3155
Epoch 8521/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.3446e-09 - accuracy: 1.0000 - val_loss: 20.1299 - val_accuracy: 0.3148
Epoch 8522/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.0599e-09 - accuracy: 1.0000 - val_loss: 20.1462 - val_accuracy: 0.3152
Epoch 8523/10000
16/16 [==============================] - 1s 42ms/step - loss: 7.8678e-09 - accuracy: 1.0000 - val_loss: 20.1628 - val_accuracy: 0.3150
Epoch 8524/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.0599e-09 - accuracy: 1.0000 - val_loss: 20.1819 - val_accuracy: 0.3148
Epoch 8525/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.8678e-09 - accuracy: 1.0000 - val_loss: 20.1996 - val_accuracy: 0.3148
Epoch 8526/10000
16/16 [==============================] - 1s 41ms/step - loss: 8.5831e-09 - accuracy: 1.0000 - val_loss: 20.2153 - val_accuracy: 0.3148
Epoch 8527/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.0599e-09 - accuracy: 1.0000 - val_loss: 20.2359 - val_accuracy: 0.3149
Epoch 8528/10000
16/16 [==============================] - 1s 41ms/step - loss: 8.8215e-09 - accuracy: 1.0000 - val_loss: 20.2533 - val_accuracy: 0.3151
Epoch 8529/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.6294e-09 - accuracy: 1.0000 - val_loss: 20.2740 - val_accuracy: 0.3150
Epoch 8530/10000
16/16 [==============================] - 1s 41ms/step - loss: 8.3446e-09 - accuracy: 1.0000 - val_loss: 20.2843 - val_accuracy: 0.3146
Epoch 8531/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.3446e-09 - accuracy: 1.0000 - val_loss: 20.3044 - val_accuracy: 0.3153
Epoch 8532/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.0599e-09 - accuracy: 1.0000 - val_loss: 20.3224 - val_accuracy: 0.3151
Epoch 8533/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.1062e-09 - accuracy: 1.0000 - val_loss: 20.3426 - val_accuracy: 0.3146
Epoch 8534/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.8678e-09 - accuracy: 1.0000 - val_loss: 20.3628 - val_accuracy: 0.3145
Epoch 8535/10000
16/16 [==============================] - 1s 41ms/step - loss: 7.6294e-09 - accuracy: 1.0000 - val_loss: 20.3788 - val_accuracy: 0.3155
Epoch 8536/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.8678e-09 - accuracy: 1.0000 - val_loss: 20.4092 - val_accuracy: 0.3148
Epoch 8537/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.1062e-09 - accuracy: 1.0000 - val_loss: 20.4266 - val_accuracy: 0.3148
Epoch 8538/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.0599e-09 - accuracy: 1.0000 - val_loss: 20.4404 - val_accuracy: 0.3155
Epoch 8539/10000
16/16 [==============================] - 1s 41ms/step - loss: 7.6294e-09 - accuracy: 1.0000 - val_loss: 20.4620 - val_accuracy: 0.3156
Epoch 8540/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.6294e-09 - accuracy: 1.0000 - val_loss: 20.4816 - val_accuracy: 0.3154
Epoch 8541/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.5831e-09 - accuracy: 1.0000 - val_loss: 20.5070 - val_accuracy: 0.3156
Epoch 8542/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.3446e-09 - accuracy: 1.0000 - val_loss: 20.5253 - val_accuracy: 0.3151
Epoch 8543/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.6294e-09 - accuracy: 1.0000 - val_loss: 20.5438 - val_accuracy: 0.3153
Epoch 8544/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.5831e-09 - accuracy: 1.0000 - val_loss: 20.5634 - val_accuracy: 0.3156
Epoch 8545/10000
16/16 [==============================] - 1s 42ms/step - loss: 7.3910e-09 - accuracy: 1.0000 - val_loss: 20.5868 - val_accuracy: 0.3152
Epoch 8546/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.8678e-09 - accuracy: 1.0000 - val_loss: 20.6110 - val_accuracy: 0.3150
Epoch 8547/10000
16/16 [==============================] - 1s 41ms/step - loss: 7.1526e-09 - accuracy: 1.0000 - val_loss: 20.6333 - val_accuracy: 0.3154
Epoch 8548/10000
16/16 [==============================] - 1s 42ms/step - loss: 8.8215e-09 - accuracy: 1.0000 - val_loss: 20.6552 - val_accuracy: 0.3148
Epoch 8549/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.0599e-09 - accuracy: 1.0000 - val_loss: 20.6711 - val_accuracy: 0.3146
Epoch 8550/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.8678e-09 - accuracy: 1.0000 - val_loss: 20.6956 - val_accuracy: 0.3145
Epoch 8551/10000
16/16 [==============================] - 1s 42ms/step - loss: 7.6294e-09 - accuracy: 1.0000 - val_loss: 20.7160 - val_accuracy: 0.3139
Epoch 8552/10000
16/16 [==============================] - 1s 38ms/step - loss: 7.8678e-09 - accuracy: 1.0000 - val_loss: 20.7402 - val_accuracy: 0.3143
Epoch 8553/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.1526e-09 - accuracy: 1.0000 - val_loss: 20.7694 - val_accuracy: 0.3142
Epoch 8554/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.2983e-09 - accuracy: 1.0000 - val_loss: 20.7913 - val_accuracy: 0.3141
Epoch 8555/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.5831e-09 - accuracy: 1.0000 - val_loss: 20.8096 - val_accuracy: 0.3145
Epoch 8556/10000
16/16 [==============================] - 1s 41ms/step - loss: 7.3910e-09 - accuracy: 1.0000 - val_loss: 20.8287 - val_accuracy: 0.3134
Epoch 8557/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.8215e-09 - accuracy: 1.0000 - val_loss: 20.8603 - val_accuracy: 0.3140
Epoch 8558/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.1526e-09 - accuracy: 1.0000 - val_loss: 20.8771 - val_accuracy: 0.3144
Epoch 8559/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.5831e-09 - accuracy: 1.0000 - val_loss: 20.8953 - val_accuracy: 0.3142
Epoch 8560/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.8215e-09 - accuracy: 1.0000 - val_loss: 20.9171 - val_accuracy: 0.3143
Epoch 8561/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.1526e-09 - accuracy: 1.0000 - val_loss: 20.9399 - val_accuracy: 0.3144
Epoch 8562/10000
16/16 [==============================] - 1s 41ms/step - loss: 7.8678e-09 - accuracy: 1.0000 - val_loss: 20.9653 - val_accuracy: 0.3143
Epoch 8563/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.3446e-09 - accuracy: 1.0000 - val_loss: 20.9797 - val_accuracy: 0.3145
Epoch 8564/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.9141e-09 - accuracy: 1.0000 - val_loss: 21.0115 - val_accuracy: 0.3139
Epoch 8565/10000
16/16 [==============================] - 1s 41ms/step - loss: 9.2983e-09 - accuracy: 1.0000 - val_loss: 21.0342 - val_accuracy: 0.3143
Epoch 8566/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.1526e-09 - accuracy: 1.0000 - val_loss: 21.0518 - val_accuracy: 0.3141
Epoch 8567/10000
16/16 [==============================] - 1s 41ms/step - loss: 6.9141e-09 - accuracy: 1.0000 - val_loss: 21.0784 - val_accuracy: 0.3145
Epoch 8568/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.6294e-09 - accuracy: 1.0000 - val_loss: 21.1028 - val_accuracy: 0.3142
Epoch 8569/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.3910e-09 - accuracy: 1.0000 - val_loss: 21.1352 - val_accuracy: 0.3138
Epoch 8570/10000
16/16 [==============================] - 1s 43ms/step - loss: 8.1062e-09 - accuracy: 1.0000 - val_loss: 21.1630 - val_accuracy: 0.3139
Epoch 8571/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.0599e-09 - accuracy: 1.0000 - val_loss: 21.1756 - val_accuracy: 0.3138
Epoch 8572/10000
16/16 [==============================] - 1s 41ms/step - loss: 7.6294e-09 - accuracy: 1.0000 - val_loss: 21.1988 - val_accuracy: 0.3130
Epoch 8573/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.1062e-09 - accuracy: 1.0000 - val_loss: 21.2182 - val_accuracy: 0.3130
Epoch 8574/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.1526e-09 - accuracy: 1.0000 - val_loss: 21.2403 - val_accuracy: 0.3127
Epoch 8575/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.3446e-09 - accuracy: 1.0000 - val_loss: 21.2699 - val_accuracy: 0.3123
Epoch 8576/10000
16/16 [==============================] - 1s 41ms/step - loss: 7.1526e-09 - accuracy: 1.0000 - val_loss: 21.2949 - val_accuracy: 0.3122
Epoch 8577/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.8678e-09 - accuracy: 1.0000 - val_loss: 21.3164 - val_accuracy: 0.3121
Epoch 8578/10000
16/16 [==============================] - 1s 42ms/step - loss: 8.3446e-09 - accuracy: 1.0000 - val_loss: 21.3424 - val_accuracy: 0.3117
Epoch 8579/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.1062e-09 - accuracy: 1.0000 - val_loss: 21.3696 - val_accuracy: 0.3120
Epoch 8580/10000
16/16 [==============================] - 1s 42ms/step - loss: 7.6294e-09 - accuracy: 1.0000 - val_loss: 21.3967 - val_accuracy: 0.3119
Epoch 8581/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.5831e-09 - accuracy: 1.0000 - val_loss: 21.4091 - val_accuracy: 0.3116
Epoch 8582/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.2983e-09 - accuracy: 1.0000 - val_loss: 21.4268 - val_accuracy: 0.3116
Epoch 8583/10000
16/16 [==============================] - 1s 41ms/step - loss: 8.1062e-09 - accuracy: 1.0000 - val_loss: 21.4466 - val_accuracy: 0.3114
Epoch 8584/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.1062e-09 - accuracy: 1.0000 - val_loss: 21.4818 - val_accuracy: 0.3121
Epoch 8585/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.6294e-09 - accuracy: 1.0000 - val_loss: 21.5151 - val_accuracy: 0.3113
Epoch 8586/10000
16/16 [==============================] - 1s 42ms/step - loss: 8.8215e-09 - accuracy: 1.0000 - val_loss: 21.5322 - val_accuracy: 0.3121
Epoch 8587/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.6294e-09 - accuracy: 1.0000 - val_loss: 21.5569 - val_accuracy: 0.3112
Epoch 8588/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.5831e-09 - accuracy: 1.0000 - val_loss: 21.5748 - val_accuracy: 0.3125
Epoch 8589/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.3910e-09 - accuracy: 1.0000 - val_loss: 21.5934 - val_accuracy: 0.3119
Epoch 8590/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.2983e-09 - accuracy: 1.0000 - val_loss: 21.6217 - val_accuracy: 0.3125
Epoch 8591/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.9141e-09 - accuracy: 1.0000 - val_loss: 21.6407 - val_accuracy: 0.3116
Epoch 8592/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.3446e-09 - accuracy: 1.0000 - val_loss: 21.6721 - val_accuracy: 0.3121
Epoch 8593/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.2983e-09 - accuracy: 1.0000 - val_loss: 21.6872 - val_accuracy: 0.3117
Epoch 8594/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.3910e-09 - accuracy: 1.0000 - val_loss: 21.7154 - val_accuracy: 0.3121
Epoch 8595/10000
16/16 [==============================] - 1s 42ms/step - loss: 7.8678e-09 - accuracy: 1.0000 - val_loss: 21.7363 - val_accuracy: 0.3120
Epoch 8596/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.3446e-09 - accuracy: 1.0000 - val_loss: 21.7652 - val_accuracy: 0.3125
Epoch 8597/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.1062e-09 - accuracy: 1.0000 - val_loss: 21.7940 - val_accuracy: 0.3114
Epoch 8598/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.4373e-09 - accuracy: 1.0000 - val_loss: 21.8218 - val_accuracy: 0.3112
Epoch 8599/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.5831e-09 - accuracy: 1.0000 - val_loss: 21.8559 - val_accuracy: 0.3117
Epoch 8600/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.9141e-09 - accuracy: 1.0000 - val_loss: 21.8802 - val_accuracy: 0.3112
Epoch 8601/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.8215e-09 - accuracy: 1.0000 - val_loss: 21.9003 - val_accuracy: 0.3118
Epoch 8602/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.6294e-09 - accuracy: 1.0000 - val_loss: 21.9364 - val_accuracy: 0.3112
Epoch 8603/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.8678e-09 - accuracy: 1.0000 - val_loss: 21.9710 - val_accuracy: 0.3112
Epoch 8604/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.8678e-09 - accuracy: 1.0000 - val_loss: 21.9896 - val_accuracy: 0.3118
Epoch 8605/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.3910e-09 - accuracy: 1.0000 - val_loss: 22.0313 - val_accuracy: 0.3112
Epoch 8606/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.3446e-09 - accuracy: 1.0000 - val_loss: 22.0527 - val_accuracy: 0.3116
Epoch 8607/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.2983e-09 - accuracy: 1.0000 - val_loss: 22.0803 - val_accuracy: 0.3113
Epoch 8608/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.3910e-09 - accuracy: 1.0000 - val_loss: 22.0890 - val_accuracy: 0.3116
Epoch 8609/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.1989e-09 - accuracy: 1.0000 - val_loss: 22.1293 - val_accuracy: 0.3121
Epoch 8610/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.8678e-09 - accuracy: 1.0000 - val_loss: 22.1682 - val_accuracy: 0.3114
Epoch 8611/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.3910e-09 - accuracy: 1.0000 - val_loss: 22.1804 - val_accuracy: 0.3114
Epoch 8612/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.1062e-09 - accuracy: 1.0000 - val_loss: 22.2170 - val_accuracy: 0.3119
Epoch 8613/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.4373e-09 - accuracy: 1.0000 - val_loss: 22.2509 - val_accuracy: 0.3117
Epoch 8614/10000
16/16 [==============================] - 1s 41ms/step - loss: 7.8678e-09 - accuracy: 1.0000 - val_loss: 22.2699 - val_accuracy: 0.3105
Epoch 8615/10000
16/16 [==============================] - 1s 42ms/step - loss: 8.1062e-09 - accuracy: 1.0000 - val_loss: 22.3183 - val_accuracy: 0.3121
Epoch 8616/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.3446e-09 - accuracy: 1.0000 - val_loss: 22.3388 - val_accuracy: 0.3113
Epoch 8617/10000
16/16 [==============================] - 1s 41ms/step - loss: 8.1062e-09 - accuracy: 1.0000 - val_loss: 22.3762 - val_accuracy: 0.3118
Epoch 8618/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.4373e-09 - accuracy: 1.0000 - val_loss: 22.3900 - val_accuracy: 0.3121
Epoch 8619/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.6294e-09 - accuracy: 1.0000 - val_loss: 22.4346 - val_accuracy: 0.3114
Epoch 8620/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.5367e-09 - accuracy: 1.0000 - val_loss: 22.4709 - val_accuracy: 0.3112
Epoch 8621/10000
16/16 [==============================] - 1s 41ms/step - loss: 7.8678e-09 - accuracy: 1.0000 - val_loss: 22.5030 - val_accuracy: 0.3127
Epoch 8622/10000
16/16 [==============================] - 1s 41ms/step - loss: 8.3446e-09 - accuracy: 1.0000 - val_loss: 22.5296 - val_accuracy: 0.3116
Epoch 8623/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.0599e-09 - accuracy: 1.0000 - val_loss: 22.5532 - val_accuracy: 0.3122
Epoch 8624/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.4373e-09 - accuracy: 1.0000 - val_loss: 22.5970 - val_accuracy: 0.3129
Epoch 8625/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.9141e-09 - accuracy: 1.0000 - val_loss: 22.6307 - val_accuracy: 0.3117
Epoch 8626/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.0014e-08 - accuracy: 1.0000 - val_loss: 22.6744 - val_accuracy: 0.3128
Epoch 8627/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.8678e-09 - accuracy: 1.0000 - val_loss: 22.6903 - val_accuracy: 0.3122
Epoch 8628/10000
16/16 [==============================] - 1s 42ms/step - loss: 7.8678e-09 - accuracy: 1.0000 - val_loss: 22.7385 - val_accuracy: 0.3125
Epoch 8629/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.5831e-09 - accuracy: 1.0000 - val_loss: 22.7749 - val_accuracy: 0.3117
Epoch 8630/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.2983e-09 - accuracy: 1.0000 - val_loss: 22.8073 - val_accuracy: 0.3136
Epoch 8631/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.5367e-09 - accuracy: 1.0000 - val_loss: 22.8375 - val_accuracy: 0.3118
Epoch 8632/10000
16/16 [==============================] - 1s 41ms/step - loss: 7.1526e-09 - accuracy: 1.0000 - val_loss: 22.8738 - val_accuracy: 0.3121
Epoch 8633/10000
16/16 [==============================] - 1s 42ms/step - loss: 9.5367e-09 - accuracy: 1.0000 - val_loss: 22.9137 - val_accuracy: 0.3121
Epoch 8634/10000
16/16 [==============================] - 1s 43ms/step - loss: 7.8678e-09 - accuracy: 1.0000 - val_loss: 22.9575 - val_accuracy: 0.3116
Epoch 8635/10000
16/16 [==============================] - 1s 43ms/step - loss: 9.0599e-09 - accuracy: 1.0000 - val_loss: 23.0057 - val_accuracy: 0.3113
Epoch 8636/10000
16/16 [==============================] - 1s 43ms/step - loss: 8.1062e-09 - accuracy: 1.0000 - val_loss: 23.0335 - val_accuracy: 0.3119
Epoch 8637/10000
16/16 [==============================] - 1s 43ms/step - loss: 1.0014e-08 - accuracy: 1.0000 - val_loss: 23.0944 - val_accuracy: 0.3113
Epoch 8638/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.1683e-08 - accuracy: 1.0000 - val_loss: 23.1274 - val_accuracy: 0.3125
Epoch 8639/10000
16/16 [==============================] - 1s 46ms/step - loss: 1.0490e-08 - accuracy: 1.0000 - val_loss: 23.1309 - val_accuracy: 0.3111
Epoch 8640/10000
16/16 [==============================] - 1s 41ms/step - loss: 7.6294e-09 - accuracy: 1.0000 - val_loss: 23.1720 - val_accuracy: 0.3121
Epoch 8641/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.6757e-09 - accuracy: 1.0000 - val_loss: 23.2198 - val_accuracy: 0.3110
Epoch 8642/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.5831e-09 - accuracy: 1.0000 - val_loss: 23.2364 - val_accuracy: 0.3116
Epoch 8643/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.1062e-09 - accuracy: 1.0000 - val_loss: 23.2925 - val_accuracy: 0.3110
Epoch 8644/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.7752e-09 - accuracy: 1.0000 - val_loss: 23.3483 - val_accuracy: 0.3123
Epoch 8645/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.8678e-09 - accuracy: 1.0000 - val_loss: 23.3812 - val_accuracy: 0.3119
Epoch 8646/10000
16/16 [==============================] - 1s 41ms/step - loss: 9.7752e-09 - accuracy: 1.0000 - val_loss: 23.4037 - val_accuracy: 0.3114
Epoch 8647/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.1062e-09 - accuracy: 1.0000 - val_loss: 23.4666 - val_accuracy: 0.3114
Epoch 8648/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.3446e-09 - accuracy: 1.0000 - val_loss: 23.4885 - val_accuracy: 0.3117
Epoch 8649/10000
16/16 [==============================] - 1s 42ms/step - loss: 8.5831e-09 - accuracy: 1.0000 - val_loss: 23.5484 - val_accuracy: 0.3122
Epoch 8650/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.8678e-09 - accuracy: 1.0000 - val_loss: 23.5720 - val_accuracy: 0.3112
Epoch 8651/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.1526e-09 - accuracy: 1.0000 - val_loss: 23.6256 - val_accuracy: 0.3113
Epoch 8652/10000
16/16 [==============================] - 1s 41ms/step - loss: 9.2983e-09 - accuracy: 1.0000 - val_loss: 23.6735 - val_accuracy: 0.3119
Epoch 8653/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.8215e-09 - accuracy: 1.0000 - val_loss: 23.7250 - val_accuracy: 0.3122
Epoch 8654/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.0014e-08 - accuracy: 1.0000 - val_loss: 23.7713 - val_accuracy: 0.3114
Epoch 8655/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.3446e-09 - accuracy: 1.0000 - val_loss: 23.7962 - val_accuracy: 0.3116
Epoch 8656/10000
16/16 [==============================] - 1s 41ms/step - loss: 7.3910e-09 - accuracy: 1.0000 - val_loss: 23.8298 - val_accuracy: 0.3113
Epoch 8657/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.5367e-09 - accuracy: 1.0000 - val_loss: 23.9146 - val_accuracy: 0.3104
Epoch 8658/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.4305e-08 - accuracy: 1.0000 - val_loss: 23.9159 - val_accuracy: 0.3128
Epoch 8659/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0014e-08 - accuracy: 1.0000 - val_loss: 23.9838 - val_accuracy: 0.3129
Epoch 8660/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.0967e-08 - accuracy: 1.0000 - val_loss: 23.9851 - val_accuracy: 0.3112
Epoch 8661/10000
16/16 [==============================] - 1s 41ms/step - loss: 9.7752e-09 - accuracy: 1.0000 - val_loss: 24.0623 - val_accuracy: 0.3118
Epoch 8662/10000
16/16 [==============================] - 1s 42ms/step - loss: 7.8678e-09 - accuracy: 1.0000 - val_loss: 24.1134 - val_accuracy: 0.3113
Epoch 8663/10000
16/16 [==============================] - 1s 41ms/step - loss: 9.5367e-09 - accuracy: 1.0000 - val_loss: 24.1312 - val_accuracy: 0.3108
Epoch 8664/10000
16/16 [==============================] - 1s 41ms/step - loss: 9.0599e-09 - accuracy: 1.0000 - val_loss: 24.1980 - val_accuracy: 0.3111
Epoch 8665/10000
16/16 [==============================] - 1s 41ms/step - loss: 9.5367e-09 - accuracy: 1.0000 - val_loss: 24.2816 - val_accuracy: 0.3111
Epoch 8666/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.1444e-08 - accuracy: 1.0000 - val_loss: 24.3108 - val_accuracy: 0.3095
Epoch 8667/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.0729e-08 - accuracy: 1.0000 - val_loss: 24.3850 - val_accuracy: 0.3109
Epoch 8668/10000
16/16 [==============================] - 1s 43ms/step - loss: 1.0967e-08 - accuracy: 1.0000 - val_loss: 24.4040 - val_accuracy: 0.3107
Epoch 8669/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.0967e-08 - accuracy: 1.0000 - val_loss: 24.4395 - val_accuracy: 0.3102
Epoch 8670/10000
16/16 [==============================] - 1s 43ms/step - loss: 2.4319e-08 - accuracy: 1.0000 - val_loss: 24.4672 - val_accuracy: 0.3104
Epoch 8671/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.6092e-06 - accuracy: 1.0000 - val_loss: 45.1584 - val_accuracy: 0.1900
Epoch 8672/10000
16/16 [==============================] - 1s 42ms/step - loss: 9.0604 - accuracy: 0.6440 - val_loss: 19.9261 - val_accuracy: 0.2916
Epoch 8673/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.2921 - accuracy: 0.8080 - val_loss: 12.8380 - val_accuracy: 0.2938
Epoch 8674/10000
16/16 [==============================] - 1s 41ms/step - loss: 0.4633 - accuracy: 0.8880 - val_loss: 12.8173 - val_accuracy: 0.3061
Epoch 8675/10000
16/16 [==============================] - 1s 42ms/step - loss: 0.1718 - accuracy: 0.9480 - val_loss: 12.3572 - val_accuracy: 0.3018
Epoch 8676/10000
16/16 [==============================] - 1s 39ms/step - loss: 0.0284 - accuracy: 0.9900 - val_loss: 12.4841 - val_accuracy: 0.3085
Epoch 8677/10000
16/16 [==============================] - 1s 40ms/step - loss: 0.0105 - accuracy: 0.9980 - val_loss: 12.6341 - val_accuracy: 0.3104
Epoch 8678/10000
16/16 [==============================] - 1s 41ms/step - loss: 0.0048 - accuracy: 1.0000 - val_loss: 12.7283 - val_accuracy: 0.3100
Epoch 8679/10000
16/16 [==============================] - 1s 40ms/step - loss: 0.0039 - accuracy: 1.0000 - val_loss: 12.7180 - val_accuracy: 0.3094
Epoch 8680/10000
16/16 [==============================] - 1s 39ms/step - loss: 0.0029 - accuracy: 1.0000 - val_loss: 12.7072 - val_accuracy: 0.3093
Epoch 8681/10000
16/16 [==============================] - 1s 41ms/step - loss: 0.0027 - accuracy: 1.0000 - val_loss: 12.7129 - val_accuracy: 0.3091
Epoch 8682/10000
16/16 [==============================] - 1s 40ms/step - loss: 0.0024 - accuracy: 1.0000 - val_loss: 12.7282 - val_accuracy: 0.3094
Epoch 8683/10000
16/16 [==============================] - 1s 39ms/step - loss: 0.0023 - accuracy: 1.0000 - val_loss: 12.7409 - val_accuracy: 0.3100
Epoch 8684/10000
16/16 [==============================] - 1s 39ms/step - loss: 0.0022 - accuracy: 1.0000 - val_loss: 12.7523 - val_accuracy: 0.3101
Epoch 8685/10000
16/16 [==============================] - 1s 39ms/step - loss: 0.0020 - accuracy: 1.0000 - val_loss: 12.7690 - val_accuracy: 0.3100
Epoch 8686/10000
16/16 [==============================] - 1s 40ms/step - loss: 0.0019 - accuracy: 1.0000 - val_loss: 12.7848 - val_accuracy: 0.3103
Epoch 8687/10000
16/16 [==============================] - 1s 40ms/step - loss: 0.0018 - accuracy: 1.0000 - val_loss: 12.8016 - val_accuracy: 0.3101
Epoch 8688/10000
16/16 [==============================] - 1s 38ms/step - loss: 0.0018 - accuracy: 1.0000 - val_loss: 12.8091 - val_accuracy: 0.3104
Epoch 8689/10000
16/16 [==============================] - 1s 40ms/step - loss: 0.0017 - accuracy: 1.0000 - val_loss: 12.8199 - val_accuracy: 0.3105
Epoch 8690/10000
16/16 [==============================] - 1s 40ms/step - loss: 0.0016 - accuracy: 1.0000 - val_loss: 12.8361 - val_accuracy: 0.3103
Epoch 8691/10000
16/16 [==============================] - 1s 39ms/step - loss: 0.0016 - accuracy: 1.0000 - val_loss: 12.8529 - val_accuracy: 0.3101
Epoch 8692/10000
16/16 [==============================] - 1s 40ms/step - loss: 0.0015 - accuracy: 1.0000 - val_loss: 12.8578 - val_accuracy: 0.3108
Epoch 8693/10000
16/16 [==============================] - 1s 40ms/step - loss: 0.0014 - accuracy: 1.0000 - val_loss: 12.8672 - val_accuracy: 0.3105
Epoch 8694/10000
16/16 [==============================] - 1s 40ms/step - loss: 0.0014 - accuracy: 1.0000 - val_loss: 12.8823 - val_accuracy: 0.3103
Epoch 8695/10000
16/16 [==============================] - 1s 40ms/step - loss: 0.0013 - accuracy: 1.0000 - val_loss: 12.8959 - val_accuracy: 0.3103
Epoch 8696/10000
16/16 [==============================] - 1s 40ms/step - loss: 0.0013 - accuracy: 1.0000 - val_loss: 12.9057 - val_accuracy: 0.3102
Epoch 8697/10000
16/16 [==============================] - 1s 39ms/step - loss: 0.0012 - accuracy: 1.0000 - val_loss: 12.9159 - val_accuracy: 0.3100
Epoch 8698/10000
16/16 [==============================] - 1s 40ms/step - loss: 0.0012 - accuracy: 1.0000 - val_loss: 12.9273 - val_accuracy: 0.3099
Epoch 8699/10000
16/16 [==============================] - 1s 40ms/step - loss: 0.0012 - accuracy: 1.0000 - val_loss: 12.9380 - val_accuracy: 0.3101
Epoch 8700/10000
16/16 [==============================] - 1s 40ms/step - loss: 0.0011 - accuracy: 1.0000 - val_loss: 12.9496 - val_accuracy: 0.3102
Epoch 8701/10000
16/16 [==============================] - 1s 40ms/step - loss: 0.0011 - accuracy: 1.0000 - val_loss: 12.9581 - val_accuracy: 0.3103
Epoch 8702/10000
16/16 [==============================] - 1s 41ms/step - loss: 0.0011 - accuracy: 1.0000 - val_loss: 12.9703 - val_accuracy: 0.3105
Epoch 8703/10000
16/16 [==============================] - 1s 40ms/step - loss: 0.0010 - accuracy: 1.0000 - val_loss: 12.9755 - val_accuracy: 0.3107
Epoch 8704/10000
16/16 [==============================] - 1s 41ms/step - loss: 0.0010 - accuracy: 1.0000 - val_loss: 12.9879 - val_accuracy: 0.3102
Epoch 8705/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.9780e-04 - accuracy: 1.0000 - val_loss: 12.9982 - val_accuracy: 0.3105
Epoch 8706/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.6419e-04 - accuracy: 1.0000 - val_loss: 13.0080 - val_accuracy: 0.3106
Epoch 8707/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.4490e-04 - accuracy: 1.0000 - val_loss: 13.0169 - val_accuracy: 0.3104
Epoch 8708/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.2271e-04 - accuracy: 1.0000 - val_loss: 13.0228 - val_accuracy: 0.3107
Epoch 8709/10000
16/16 [==============================] - 1s 42ms/step - loss: 9.0078e-04 - accuracy: 1.0000 - val_loss: 13.0322 - val_accuracy: 0.3107
Epoch 8710/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.8576e-04 - accuracy: 1.0000 - val_loss: 13.0407 - val_accuracy: 0.3105
Epoch 8711/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.5948e-04 - accuracy: 1.0000 - val_loss: 13.0470 - val_accuracy: 0.3110
Epoch 8712/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.4313e-04 - accuracy: 1.0000 - val_loss: 13.0568 - val_accuracy: 0.3109
Epoch 8713/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.2593e-04 - accuracy: 1.0000 - val_loss: 13.0643 - val_accuracy: 0.3111
Epoch 8714/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.0912e-04 - accuracy: 1.0000 - val_loss: 13.0719 - val_accuracy: 0.3104
Epoch 8715/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.9149e-04 - accuracy: 1.0000 - val_loss: 13.0805 - val_accuracy: 0.3106
Epoch 8716/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.7421e-04 - accuracy: 1.0000 - val_loss: 13.0893 - val_accuracy: 0.3106
Epoch 8717/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.6200e-04 - accuracy: 1.0000 - val_loss: 13.0999 - val_accuracy: 0.3103
Epoch 8718/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.4476e-04 - accuracy: 1.0000 - val_loss: 13.1060 - val_accuracy: 0.3107
Epoch 8719/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.2979e-04 - accuracy: 1.0000 - val_loss: 13.1141 - val_accuracy: 0.3106
Epoch 8720/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.1409e-04 - accuracy: 1.0000 - val_loss: 13.1232 - val_accuracy: 0.3112
Epoch 8721/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.0116e-04 - accuracy: 1.0000 - val_loss: 13.1319 - val_accuracy: 0.3111
Epoch 8722/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.8694e-04 - accuracy: 1.0000 - val_loss: 13.1383 - val_accuracy: 0.3108
Epoch 8723/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.7676e-04 - accuracy: 1.0000 - val_loss: 13.1441 - val_accuracy: 0.3107
Epoch 8724/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.5984e-04 - accuracy: 1.0000 - val_loss: 13.1539 - val_accuracy: 0.3108
Epoch 8725/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.4835e-04 - accuracy: 1.0000 - val_loss: 13.1626 - val_accuracy: 0.3108
Epoch 8726/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.3841e-04 - accuracy: 1.0000 - val_loss: 13.1686 - val_accuracy: 0.3110
Epoch 8727/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.3026e-04 - accuracy: 1.0000 - val_loss: 13.1786 - val_accuracy: 0.3109
Epoch 8728/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.1632e-04 - accuracy: 1.0000 - val_loss: 13.1822 - val_accuracy: 0.3107
Epoch 8729/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.0740e-04 - accuracy: 1.0000 - val_loss: 13.1938 - val_accuracy: 0.3106
Epoch 8730/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.9300e-04 - accuracy: 1.0000 - val_loss: 13.1999 - val_accuracy: 0.3108
Epoch 8731/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.8209e-04 - accuracy: 1.0000 - val_loss: 13.2057 - val_accuracy: 0.3105
Epoch 8732/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.7177e-04 - accuracy: 1.0000 - val_loss: 13.2149 - val_accuracy: 0.3104
Epoch 8733/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.6401e-04 - accuracy: 1.0000 - val_loss: 13.2218 - val_accuracy: 0.3102
Epoch 8734/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.5423e-04 - accuracy: 1.0000 - val_loss: 13.2321 - val_accuracy: 0.3101
Epoch 8735/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.4575e-04 - accuracy: 1.0000 - val_loss: 13.2369 - val_accuracy: 0.3102
Epoch 8736/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.3614e-04 - accuracy: 1.0000 - val_loss: 13.2455 - val_accuracy: 0.3101
Epoch 8737/10000
16/16 [==============================] - 1s 41ms/step - loss: 5.2658e-04 - accuracy: 1.0000 - val_loss: 13.2519 - val_accuracy: 0.3100
Epoch 8738/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.1767e-04 - accuracy: 1.0000 - val_loss: 13.2582 - val_accuracy: 0.3104
Epoch 8739/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.1009e-04 - accuracy: 1.0000 - val_loss: 13.2653 - val_accuracy: 0.3099
Epoch 8740/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.0283e-04 - accuracy: 1.0000 - val_loss: 13.2716 - val_accuracy: 0.3097
Epoch 8741/10000
16/16 [==============================] - 1s 41ms/step - loss: 4.9453e-04 - accuracy: 1.0000 - val_loss: 13.2760 - val_accuracy: 0.3099
Epoch 8742/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.8670e-04 - accuracy: 1.0000 - val_loss: 13.2858 - val_accuracy: 0.3097
Epoch 8743/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.7895e-04 - accuracy: 1.0000 - val_loss: 13.2922 - val_accuracy: 0.3101
Epoch 8744/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.7305e-04 - accuracy: 1.0000 - val_loss: 13.2983 - val_accuracy: 0.3105
Epoch 8745/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.6471e-04 - accuracy: 1.0000 - val_loss: 13.3050 - val_accuracy: 0.3104
Epoch 8746/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.5791e-04 - accuracy: 1.0000 - val_loss: 13.3112 - val_accuracy: 0.3107
Epoch 8747/10000
16/16 [==============================] - 1s 41ms/step - loss: 4.4910e-04 - accuracy: 1.0000 - val_loss: 13.3207 - val_accuracy: 0.3100
Epoch 8748/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.4127e-04 - accuracy: 1.0000 - val_loss: 13.3281 - val_accuracy: 0.3101
Epoch 8749/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.3356e-04 - accuracy: 1.0000 - val_loss: 13.3344 - val_accuracy: 0.3103
Epoch 8750/10000
16/16 [==============================] - 1s 41ms/step - loss: 4.2558e-04 - accuracy: 1.0000 - val_loss: 13.3414 - val_accuracy: 0.3097
Epoch 8751/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.1881e-04 - accuracy: 1.0000 - val_loss: 13.3480 - val_accuracy: 0.3102
Epoch 8752/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.1265e-04 - accuracy: 1.0000 - val_loss: 13.3545 - val_accuracy: 0.3100
Epoch 8753/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.0507e-04 - accuracy: 1.0000 - val_loss: 13.3617 - val_accuracy: 0.3101
Epoch 8754/10000
16/16 [==============================] - 1s 42ms/step - loss: 3.9889e-04 - accuracy: 1.0000 - val_loss: 13.3675 - val_accuracy: 0.3103
Epoch 8755/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.9309e-04 - accuracy: 1.0000 - val_loss: 13.3734 - val_accuracy: 0.3100
Epoch 8756/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.8768e-04 - accuracy: 1.0000 - val_loss: 13.3800 - val_accuracy: 0.3099
Epoch 8757/10000
16/16 [==============================] - 1s 41ms/step - loss: 3.8204e-04 - accuracy: 1.0000 - val_loss: 13.3873 - val_accuracy: 0.3101
Epoch 8758/10000
16/16 [==============================] - 1s 41ms/step - loss: 3.7643e-04 - accuracy: 1.0000 - val_loss: 13.3942 - val_accuracy: 0.3099
Epoch 8759/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.7059e-04 - accuracy: 1.0000 - val_loss: 13.3991 - val_accuracy: 0.3100
Epoch 8760/10000
16/16 [==============================] - 1s 41ms/step - loss: 3.6522e-04 - accuracy: 1.0000 - val_loss: 13.4068 - val_accuracy: 0.3100
Epoch 8761/10000
16/16 [==============================] - 1s 41ms/step - loss: 3.5983e-04 - accuracy: 1.0000 - val_loss: 13.4134 - val_accuracy: 0.3099
Epoch 8762/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.5658e-04 - accuracy: 1.0000 - val_loss: 13.4175 - val_accuracy: 0.3104
Epoch 8763/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.4927e-04 - accuracy: 1.0000 - val_loss: 13.4257 - val_accuracy: 0.3103
Epoch 8764/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.4518e-04 - accuracy: 1.0000 - val_loss: 13.4323 - val_accuracy: 0.3105
Epoch 8765/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.3991e-04 - accuracy: 1.0000 - val_loss: 13.4386 - val_accuracy: 0.3105
Epoch 8766/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.3624e-04 - accuracy: 1.0000 - val_loss: 13.4441 - val_accuracy: 0.3107
Epoch 8767/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.3109e-04 - accuracy: 1.0000 - val_loss: 13.4513 - val_accuracy: 0.3107
Epoch 8768/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.2594e-04 - accuracy: 1.0000 - val_loss: 13.4560 - val_accuracy: 0.3109
Epoch 8769/10000
16/16 [==============================] - 1s 41ms/step - loss: 3.2235e-04 - accuracy: 1.0000 - val_loss: 13.4620 - val_accuracy: 0.3104
Epoch 8770/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.1774e-04 - accuracy: 1.0000 - val_loss: 13.4676 - val_accuracy: 0.3106
Epoch 8771/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.1279e-04 - accuracy: 1.0000 - val_loss: 13.4738 - val_accuracy: 0.3106
Epoch 8772/10000
16/16 [==============================] - 1s 41ms/step - loss: 3.0860e-04 - accuracy: 1.0000 - val_loss: 13.4800 - val_accuracy: 0.3108
Epoch 8773/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.0467e-04 - accuracy: 1.0000 - val_loss: 13.4858 - val_accuracy: 0.3103
Epoch 8774/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.0096e-04 - accuracy: 1.0000 - val_loss: 13.4912 - val_accuracy: 0.3103
Epoch 8775/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.9785e-04 - accuracy: 1.0000 - val_loss: 13.4984 - val_accuracy: 0.3102
Epoch 8776/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.9476e-04 - accuracy: 1.0000 - val_loss: 13.5051 - val_accuracy: 0.3104
Epoch 8777/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.8910e-04 - accuracy: 1.0000 - val_loss: 13.5085 - val_accuracy: 0.3102
Epoch 8778/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.8749e-04 - accuracy: 1.0000 - val_loss: 13.5125 - val_accuracy: 0.3104
Epoch 8779/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.8240e-04 - accuracy: 1.0000 - val_loss: 13.5202 - val_accuracy: 0.3103
Epoch 8780/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.7857e-04 - accuracy: 1.0000 - val_loss: 13.5262 - val_accuracy: 0.3103
Epoch 8781/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.7508e-04 - accuracy: 1.0000 - val_loss: 13.5321 - val_accuracy: 0.3103
Epoch 8782/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.7180e-04 - accuracy: 1.0000 - val_loss: 13.5371 - val_accuracy: 0.3103
Epoch 8783/10000
16/16 [==============================] - 1s 43ms/step - loss: 2.6981e-04 - accuracy: 1.0000 - val_loss: 13.5429 - val_accuracy: 0.3103
Epoch 8784/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.6558e-04 - accuracy: 1.0000 - val_loss: 13.5486 - val_accuracy: 0.3103
Epoch 8785/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.6190e-04 - accuracy: 1.0000 - val_loss: 13.5532 - val_accuracy: 0.3105
Epoch 8786/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.5961e-04 - accuracy: 1.0000 - val_loss: 13.5595 - val_accuracy: 0.3105
Epoch 8787/10000
16/16 [==============================] - 1s 44ms/step - loss: 2.5598e-04 - accuracy: 1.0000 - val_loss: 13.5645 - val_accuracy: 0.3105
Epoch 8788/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.5365e-04 - accuracy: 1.0000 - val_loss: 13.5696 - val_accuracy: 0.3105
Epoch 8789/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.4974e-04 - accuracy: 1.0000 - val_loss: 13.5758 - val_accuracy: 0.3107
Epoch 8790/10000
16/16 [==============================] - 1s 42ms/step - loss: 2.4724e-04 - accuracy: 1.0000 - val_loss: 13.5822 - val_accuracy: 0.3107
Epoch 8791/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.4421e-04 - accuracy: 1.0000 - val_loss: 13.5874 - val_accuracy: 0.3107
Epoch 8792/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.4139e-04 - accuracy: 1.0000 - val_loss: 13.5926 - val_accuracy: 0.3106
Epoch 8793/10000
16/16 [==============================] - 1s 42ms/step - loss: 2.3965e-04 - accuracy: 1.0000 - val_loss: 13.5966 - val_accuracy: 0.3110
Epoch 8794/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.3603e-04 - accuracy: 1.0000 - val_loss: 13.6031 - val_accuracy: 0.3109
Epoch 8795/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.3369e-04 - accuracy: 1.0000 - val_loss: 13.6067 - val_accuracy: 0.3109
Epoch 8796/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.3060e-04 - accuracy: 1.0000 - val_loss: 13.6121 - val_accuracy: 0.3111
Epoch 8797/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.2825e-04 - accuracy: 1.0000 - val_loss: 13.6178 - val_accuracy: 0.3111
Epoch 8798/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.2547e-04 - accuracy: 1.0000 - val_loss: 13.6227 - val_accuracy: 0.3111
Epoch 8799/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.2300e-04 - accuracy: 1.0000 - val_loss: 13.6275 - val_accuracy: 0.3110
Epoch 8800/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.2058e-04 - accuracy: 1.0000 - val_loss: 13.6330 - val_accuracy: 0.3108
Epoch 8801/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.1789e-04 - accuracy: 1.0000 - val_loss: 13.6378 - val_accuracy: 0.3111
Epoch 8802/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.1653e-04 - accuracy: 1.0000 - val_loss: 13.6447 - val_accuracy: 0.3111
Epoch 8803/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.1320e-04 - accuracy: 1.0000 - val_loss: 13.6485 - val_accuracy: 0.3109
Epoch 8804/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.1097e-04 - accuracy: 1.0000 - val_loss: 13.6531 - val_accuracy: 0.3110
Epoch 8805/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.0826e-04 - accuracy: 1.0000 - val_loss: 13.6592 - val_accuracy: 0.3111
Epoch 8806/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.0611e-04 - accuracy: 1.0000 - val_loss: 13.6631 - val_accuracy: 0.3109
Epoch 8807/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.0420e-04 - accuracy: 1.0000 - val_loss: 13.6674 - val_accuracy: 0.3109
Epoch 8808/10000
16/16 [==============================] - 1s 42ms/step - loss: 2.0220e-04 - accuracy: 1.0000 - val_loss: 13.6730 - val_accuracy: 0.3104
Epoch 8809/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.9971e-04 - accuracy: 1.0000 - val_loss: 13.6777 - val_accuracy: 0.3104
Epoch 8810/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.9723e-04 - accuracy: 1.0000 - val_loss: 13.6837 - val_accuracy: 0.3104
Epoch 8811/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.9536e-04 - accuracy: 1.0000 - val_loss: 13.6889 - val_accuracy: 0.3103
Epoch 8812/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.9321e-04 - accuracy: 1.0000 - val_loss: 13.6930 - val_accuracy: 0.3107
Epoch 8813/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.9164e-04 - accuracy: 1.0000 - val_loss: 13.6968 - val_accuracy: 0.3107
Epoch 8814/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.8931e-04 - accuracy: 1.0000 - val_loss: 13.7023 - val_accuracy: 0.3107
Epoch 8815/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.8745e-04 - accuracy: 1.0000 - val_loss: 13.7060 - val_accuracy: 0.3108
Epoch 8816/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.8510e-04 - accuracy: 1.0000 - val_loss: 13.7122 - val_accuracy: 0.3105
Epoch 8817/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.8344e-04 - accuracy: 1.0000 - val_loss: 13.7172 - val_accuracy: 0.3106
Epoch 8818/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.8150e-04 - accuracy: 1.0000 - val_loss: 13.7218 - val_accuracy: 0.3105
Epoch 8819/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.7986e-04 - accuracy: 1.0000 - val_loss: 13.7259 - val_accuracy: 0.3106
Epoch 8820/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.7749e-04 - accuracy: 1.0000 - val_loss: 13.7318 - val_accuracy: 0.3104
Epoch 8821/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.7584e-04 - accuracy: 1.0000 - val_loss: 13.7368 - val_accuracy: 0.3105
Epoch 8822/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.7436e-04 - accuracy: 1.0000 - val_loss: 13.7409 - val_accuracy: 0.3106
Epoch 8823/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.7215e-04 - accuracy: 1.0000 - val_loss: 13.7459 - val_accuracy: 0.3108
Epoch 8824/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.7060e-04 - accuracy: 1.0000 - val_loss: 13.7506 - val_accuracy: 0.3109
Epoch 8825/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.6892e-04 - accuracy: 1.0000 - val_loss: 13.7569 - val_accuracy: 0.3111
Epoch 8826/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.6698e-04 - accuracy: 1.0000 - val_loss: 13.7603 - val_accuracy: 0.3111
Epoch 8827/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.6541e-04 - accuracy: 1.0000 - val_loss: 13.7650 - val_accuracy: 0.3112
Epoch 8828/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.6370e-04 - accuracy: 1.0000 - val_loss: 13.7696 - val_accuracy: 0.3114
Epoch 8829/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.6208e-04 - accuracy: 1.0000 - val_loss: 13.7752 - val_accuracy: 0.3114
Epoch 8830/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.6059e-04 - accuracy: 1.0000 - val_loss: 13.7803 - val_accuracy: 0.3113
Epoch 8831/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.5874e-04 - accuracy: 1.0000 - val_loss: 13.7838 - val_accuracy: 0.3115
Epoch 8832/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.5706e-04 - accuracy: 1.0000 - val_loss: 13.7891 - val_accuracy: 0.3113
Epoch 8833/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.5542e-04 - accuracy: 1.0000 - val_loss: 13.7942 - val_accuracy: 0.3113
Epoch 8834/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.5380e-04 - accuracy: 1.0000 - val_loss: 13.7982 - val_accuracy: 0.3115
Epoch 8835/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.5220e-04 - accuracy: 1.0000 - val_loss: 13.8035 - val_accuracy: 0.3116
Epoch 8836/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.5082e-04 - accuracy: 1.0000 - val_loss: 13.8099 - val_accuracy: 0.3116
Epoch 8837/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.4875e-04 - accuracy: 1.0000 - val_loss: 13.8135 - val_accuracy: 0.3114
Epoch 8838/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.4769e-04 - accuracy: 1.0000 - val_loss: 13.8195 - val_accuracy: 0.3113
Epoch 8839/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.4593e-04 - accuracy: 1.0000 - val_loss: 13.8235 - val_accuracy: 0.3114
Epoch 8840/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.4472e-04 - accuracy: 1.0000 - val_loss: 13.8284 - val_accuracy: 0.3114
Epoch 8841/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.4328e-04 - accuracy: 1.0000 - val_loss: 13.8325 - val_accuracy: 0.3115
Epoch 8842/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.4179e-04 - accuracy: 1.0000 - val_loss: 13.8388 - val_accuracy: 0.3113
Epoch 8843/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.4058e-04 - accuracy: 1.0000 - val_loss: 13.8442 - val_accuracy: 0.3115
Epoch 8844/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.3897e-04 - accuracy: 1.0000 - val_loss: 13.8480 - val_accuracy: 0.3112
Epoch 8845/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.3757e-04 - accuracy: 1.0000 - val_loss: 13.8514 - val_accuracy: 0.3115
Epoch 8846/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.3616e-04 - accuracy: 1.0000 - val_loss: 13.8565 - val_accuracy: 0.3120
Epoch 8847/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.3481e-04 - accuracy: 1.0000 - val_loss: 13.8617 - val_accuracy: 0.3118
Epoch 8848/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.3362e-04 - accuracy: 1.0000 - val_loss: 13.8665 - val_accuracy: 0.3118
Epoch 8849/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.3222e-04 - accuracy: 1.0000 - val_loss: 13.8709 - val_accuracy: 0.3119
Epoch 8850/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.3096e-04 - accuracy: 1.0000 - val_loss: 13.8754 - val_accuracy: 0.3122
Epoch 8851/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.2976e-04 - accuracy: 1.0000 - val_loss: 13.8804 - val_accuracy: 0.3122
Epoch 8852/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.2868e-04 - accuracy: 1.0000 - val_loss: 13.8852 - val_accuracy: 0.3123
Epoch 8853/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.2754e-04 - accuracy: 1.0000 - val_loss: 13.8891 - val_accuracy: 0.3122
Epoch 8854/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.2616e-04 - accuracy: 1.0000 - val_loss: 13.8933 - val_accuracy: 0.3123
Epoch 8855/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.2510e-04 - accuracy: 1.0000 - val_loss: 13.8977 - val_accuracy: 0.3124
Epoch 8856/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.2378e-04 - accuracy: 1.0000 - val_loss: 13.9035 - val_accuracy: 0.3123
Epoch 8857/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.2253e-04 - accuracy: 1.0000 - val_loss: 13.9077 - val_accuracy: 0.3124
Epoch 8858/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.2125e-04 - accuracy: 1.0000 - val_loss: 13.9126 - val_accuracy: 0.3124
Epoch 8859/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.2031e-04 - accuracy: 1.0000 - val_loss: 13.9174 - val_accuracy: 0.3122
Epoch 8860/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.1907e-04 - accuracy: 1.0000 - val_loss: 13.9241 - val_accuracy: 0.3126
Epoch 8861/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.1775e-04 - accuracy: 1.0000 - val_loss: 13.9275 - val_accuracy: 0.3124
Epoch 8862/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.1673e-04 - accuracy: 1.0000 - val_loss: 13.9319 - val_accuracy: 0.3124
Epoch 8863/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.1555e-04 - accuracy: 1.0000 - val_loss: 13.9369 - val_accuracy: 0.3126
Epoch 8864/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.1433e-04 - accuracy: 1.0000 - val_loss: 13.9417 - val_accuracy: 0.3126
Epoch 8865/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.1328e-04 - accuracy: 1.0000 - val_loss: 13.9465 - val_accuracy: 0.3127
Epoch 8866/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.1218e-04 - accuracy: 1.0000 - val_loss: 13.9507 - val_accuracy: 0.3126
Epoch 8867/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.1126e-04 - accuracy: 1.0000 - val_loss: 13.9547 - val_accuracy: 0.3127
Epoch 8868/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0998e-04 - accuracy: 1.0000 - val_loss: 13.9594 - val_accuracy: 0.3125
Epoch 8869/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.0912e-04 - accuracy: 1.0000 - val_loss: 13.9663 - val_accuracy: 0.3126
Epoch 8870/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.0785e-04 - accuracy: 1.0000 - val_loss: 13.9704 - val_accuracy: 0.3126
Epoch 8871/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.0675e-04 - accuracy: 1.0000 - val_loss: 13.9745 - val_accuracy: 0.3125
Epoch 8872/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.0563e-04 - accuracy: 1.0000 - val_loss: 13.9797 - val_accuracy: 0.3129
Epoch 8873/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0468e-04 - accuracy: 1.0000 - val_loss: 13.9842 - val_accuracy: 0.3127
Epoch 8874/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0383e-04 - accuracy: 1.0000 - val_loss: 13.9901 - val_accuracy: 0.3126
Epoch 8875/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.0260e-04 - accuracy: 1.0000 - val_loss: 13.9936 - val_accuracy: 0.3128
Epoch 8876/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.0145e-04 - accuracy: 1.0000 - val_loss: 13.9989 - val_accuracy: 0.3129
Epoch 8877/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0069e-04 - accuracy: 1.0000 - val_loss: 14.0036 - val_accuracy: 0.3129
Epoch 8878/10000
16/16 [==============================] - 1s 41ms/step - loss: 9.9620e-05 - accuracy: 1.0000 - val_loss: 14.0087 - val_accuracy: 0.3130
Epoch 8879/10000
16/16 [==============================] - 1s 41ms/step - loss: 9.8696e-05 - accuracy: 1.0000 - val_loss: 14.0133 - val_accuracy: 0.3130
Epoch 8880/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.7698e-05 - accuracy: 1.0000 - val_loss: 14.0171 - val_accuracy: 0.3130
Epoch 8881/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.6953e-05 - accuracy: 1.0000 - val_loss: 14.0210 - val_accuracy: 0.3130
Epoch 8882/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.5840e-05 - accuracy: 1.0000 - val_loss: 14.0261 - val_accuracy: 0.3130
Epoch 8883/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.4960e-05 - accuracy: 1.0000 - val_loss: 14.0302 - val_accuracy: 0.3130
Epoch 8884/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.4086e-05 - accuracy: 1.0000 - val_loss: 14.0365 - val_accuracy: 0.3130
Epoch 8885/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.3318e-05 - accuracy: 1.0000 - val_loss: 14.0405 - val_accuracy: 0.3130
Epoch 8886/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.2324e-05 - accuracy: 1.0000 - val_loss: 14.0452 - val_accuracy: 0.3130
Epoch 8887/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.1361e-05 - accuracy: 1.0000 - val_loss: 14.0498 - val_accuracy: 0.3130
Epoch 8888/10000
16/16 [==============================] - 1s 41ms/step - loss: 9.0508e-05 - accuracy: 1.0000 - val_loss: 14.0554 - val_accuracy: 0.3131
Epoch 8889/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.9748e-05 - accuracy: 1.0000 - val_loss: 14.0596 - val_accuracy: 0.3129
Epoch 8890/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.8770e-05 - accuracy: 1.0000 - val_loss: 14.0637 - val_accuracy: 0.3130
Epoch 8891/10000
16/16 [==============================] - 1s 43ms/step - loss: 8.7942e-05 - accuracy: 1.0000 - val_loss: 14.0692 - val_accuracy: 0.3132
Epoch 8892/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.7195e-05 - accuracy: 1.0000 - val_loss: 14.0733 - val_accuracy: 0.3129
Epoch 8893/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.6398e-05 - accuracy: 1.0000 - val_loss: 14.0778 - val_accuracy: 0.3131
Epoch 8894/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.5463e-05 - accuracy: 1.0000 - val_loss: 14.0827 - val_accuracy: 0.3129
Epoch 8895/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.4682e-05 - accuracy: 1.0000 - val_loss: 14.0861 - val_accuracy: 0.3130
Epoch 8896/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.3913e-05 - accuracy: 1.0000 - val_loss: 14.0925 - val_accuracy: 0.3128
Epoch 8897/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.3021e-05 - accuracy: 1.0000 - val_loss: 14.0971 - val_accuracy: 0.3127
Epoch 8898/10000
16/16 [==============================] - 1s 41ms/step - loss: 8.2240e-05 - accuracy: 1.0000 - val_loss: 14.1007 - val_accuracy: 0.3126
Epoch 8899/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.1718e-05 - accuracy: 1.0000 - val_loss: 14.1075 - val_accuracy: 0.3127
Epoch 8900/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.0593e-05 - accuracy: 1.0000 - val_loss: 14.1118 - val_accuracy: 0.3124
Epoch 8901/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.9937e-05 - accuracy: 1.0000 - val_loss: 14.1162 - val_accuracy: 0.3125
Epoch 8902/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.9083e-05 - accuracy: 1.0000 - val_loss: 14.1202 - val_accuracy: 0.3128
Epoch 8903/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.8360e-05 - accuracy: 1.0000 - val_loss: 14.1256 - val_accuracy: 0.3125
Epoch 8904/10000
16/16 [==============================] - 1s 41ms/step - loss: 7.7655e-05 - accuracy: 1.0000 - val_loss: 14.1293 - val_accuracy: 0.3130
Epoch 8905/10000
16/16 [==============================] - 1s 41ms/step - loss: 7.6912e-05 - accuracy: 1.0000 - val_loss: 14.1348 - val_accuracy: 0.3128
Epoch 8906/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.6360e-05 - accuracy: 1.0000 - val_loss: 14.1394 - val_accuracy: 0.3128
Epoch 8907/10000
16/16 [==============================] - 1s 41ms/step - loss: 7.5381e-05 - accuracy: 1.0000 - val_loss: 14.1427 - val_accuracy: 0.3130
Epoch 8908/10000
16/16 [==============================] - 1s 42ms/step - loss: 7.4654e-05 - accuracy: 1.0000 - val_loss: 14.1467 - val_accuracy: 0.3131
Epoch 8909/10000
16/16 [==============================] - 1s 42ms/step - loss: 7.3963e-05 - accuracy: 1.0000 - val_loss: 14.1517 - val_accuracy: 0.3134
Epoch 8910/10000
16/16 [==============================] - 1s 41ms/step - loss: 7.3233e-05 - accuracy: 1.0000 - val_loss: 14.1569 - val_accuracy: 0.3135
Epoch 8911/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.2563e-05 - accuracy: 1.0000 - val_loss: 14.1604 - val_accuracy: 0.3136
Epoch 8912/10000
16/16 [==============================] - 1s 41ms/step - loss: 7.1993e-05 - accuracy: 1.0000 - val_loss: 14.1667 - val_accuracy: 0.3135
Epoch 8913/10000
16/16 [==============================] - 1s 42ms/step - loss: 7.1177e-05 - accuracy: 1.0000 - val_loss: 14.1708 - val_accuracy: 0.3137
Epoch 8914/10000
16/16 [==============================] - 1s 41ms/step - loss: 7.0534e-05 - accuracy: 1.0000 - val_loss: 14.1756 - val_accuracy: 0.3137
Epoch 8915/10000
16/16 [==============================] - 1s 41ms/step - loss: 6.9949e-05 - accuracy: 1.0000 - val_loss: 14.1796 - val_accuracy: 0.3137
Epoch 8916/10000
16/16 [==============================] - 1s 41ms/step - loss: 6.9258e-05 - accuracy: 1.0000 - val_loss: 14.1857 - val_accuracy: 0.3142
Epoch 8917/10000
16/16 [==============================] - 1s 41ms/step - loss: 6.8577e-05 - accuracy: 1.0000 - val_loss: 14.1911 - val_accuracy: 0.3142
Epoch 8918/10000
16/16 [==============================] - 1s 41ms/step - loss: 6.7840e-05 - accuracy: 1.0000 - val_loss: 14.1947 - val_accuracy: 0.3143
Epoch 8919/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.7228e-05 - accuracy: 1.0000 - val_loss: 14.1991 - val_accuracy: 0.3142
Epoch 8920/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.6551e-05 - accuracy: 1.0000 - val_loss: 14.2041 - val_accuracy: 0.3144
Epoch 8921/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.6027e-05 - accuracy: 1.0000 - val_loss: 14.2086 - val_accuracy: 0.3146
Epoch 8922/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.5384e-05 - accuracy: 1.0000 - val_loss: 14.2131 - val_accuracy: 0.3144
Epoch 8923/10000
16/16 [==============================] - 1s 41ms/step - loss: 6.4838e-05 - accuracy: 1.0000 - val_loss: 14.2175 - val_accuracy: 0.3146
Epoch 8924/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.4149e-05 - accuracy: 1.0000 - val_loss: 14.2224 - val_accuracy: 0.3147
Epoch 8925/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.3540e-05 - accuracy: 1.0000 - val_loss: 14.2267 - val_accuracy: 0.3147
Epoch 8926/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.2937e-05 - accuracy: 1.0000 - val_loss: 14.2320 - val_accuracy: 0.3147
Epoch 8927/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.2304e-05 - accuracy: 1.0000 - val_loss: 14.2359 - val_accuracy: 0.3148
Epoch 8928/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.1759e-05 - accuracy: 1.0000 - val_loss: 14.2405 - val_accuracy: 0.3147
Epoch 8929/10000
16/16 [==============================] - 1s 42ms/step - loss: 6.1254e-05 - accuracy: 1.0000 - val_loss: 14.2449 - val_accuracy: 0.3146
Epoch 8930/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.0579e-05 - accuracy: 1.0000 - val_loss: 14.2484 - val_accuracy: 0.3146
Epoch 8931/10000
16/16 [==============================] - 1s 47ms/step - loss: 6.0003e-05 - accuracy: 1.0000 - val_loss: 14.2536 - val_accuracy: 0.3147
Epoch 8932/10000
16/16 [==============================] - 1s 48ms/step - loss: 5.9430e-05 - accuracy: 1.0000 - val_loss: 14.2593 - val_accuracy: 0.3148
Epoch 8933/10000
16/16 [==============================] - 1s 48ms/step - loss: 5.8916e-05 - accuracy: 1.0000 - val_loss: 14.2630 - val_accuracy: 0.3148
Epoch 8934/10000
16/16 [==============================] - 1s 49ms/step - loss: 5.8311e-05 - accuracy: 1.0000 - val_loss: 14.2673 - val_accuracy: 0.3150
Epoch 8935/10000
16/16 [==============================] - 1s 47ms/step - loss: 5.7822e-05 - accuracy: 1.0000 - val_loss: 14.2715 - val_accuracy: 0.3151
Epoch 8936/10000
16/16 [==============================] - 1s 47ms/step - loss: 5.7272e-05 - accuracy: 1.0000 - val_loss: 14.2767 - val_accuracy: 0.3151
Epoch 8937/10000
16/16 [==============================] - 1s 48ms/step - loss: 5.6755e-05 - accuracy: 1.0000 - val_loss: 14.2815 - val_accuracy: 0.3149
Epoch 8938/10000
16/16 [==============================] - 1s 48ms/step - loss: 5.6223e-05 - accuracy: 1.0000 - val_loss: 14.2853 - val_accuracy: 0.3152
Epoch 8939/10000
16/16 [==============================] - 1s 47ms/step - loss: 5.5681e-05 - accuracy: 1.0000 - val_loss: 14.2894 - val_accuracy: 0.3151
Epoch 8940/10000
16/16 [==============================] - 1s 47ms/step - loss: 5.5204e-05 - accuracy: 1.0000 - val_loss: 14.2938 - val_accuracy: 0.3152
Epoch 8941/10000
16/16 [==============================] - 1s 49ms/step - loss: 5.4733e-05 - accuracy: 1.0000 - val_loss: 14.2977 - val_accuracy: 0.3151
Epoch 8942/10000
16/16 [==============================] - 1s 48ms/step - loss: 5.4300e-05 - accuracy: 1.0000 - val_loss: 14.3032 - val_accuracy: 0.3148
Epoch 8943/10000
16/16 [==============================] - 1s 47ms/step - loss: 5.3702e-05 - accuracy: 1.0000 - val_loss: 14.3069 - val_accuracy: 0.3150
Epoch 8944/10000
16/16 [==============================] - 1s 43ms/step - loss: 5.3261e-05 - accuracy: 1.0000 - val_loss: 14.3107 - val_accuracy: 0.3152
Epoch 8945/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.2735e-05 - accuracy: 1.0000 - val_loss: 14.3158 - val_accuracy: 0.3153
Epoch 8946/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.2283e-05 - accuracy: 1.0000 - val_loss: 14.3198 - val_accuracy: 0.3152
Epoch 8947/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.1783e-05 - accuracy: 1.0000 - val_loss: 14.3242 - val_accuracy: 0.3153
Epoch 8948/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.1282e-05 - accuracy: 1.0000 - val_loss: 14.3281 - val_accuracy: 0.3153
Epoch 8949/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.0864e-05 - accuracy: 1.0000 - val_loss: 14.3326 - val_accuracy: 0.3154
Epoch 8950/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.0395e-05 - accuracy: 1.0000 - val_loss: 14.3368 - val_accuracy: 0.3153
Epoch 8951/10000
16/16 [==============================] - 1s 42ms/step - loss: 4.9901e-05 - accuracy: 1.0000 - val_loss: 14.3406 - val_accuracy: 0.3152
Epoch 8952/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.9495e-05 - accuracy: 1.0000 - val_loss: 14.3452 - val_accuracy: 0.3154
Epoch 8953/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.9121e-05 - accuracy: 1.0000 - val_loss: 14.3503 - val_accuracy: 0.3152
Epoch 8954/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.8542e-05 - accuracy: 1.0000 - val_loss: 14.3543 - val_accuracy: 0.3155
Epoch 8955/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.8120e-05 - accuracy: 1.0000 - val_loss: 14.3574 - val_accuracy: 0.3154
Epoch 8956/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.7725e-05 - accuracy: 1.0000 - val_loss: 14.3626 - val_accuracy: 0.3156
Epoch 8957/10000
16/16 [==============================] - 1s 41ms/step - loss: 4.7321e-05 - accuracy: 1.0000 - val_loss: 14.3670 - val_accuracy: 0.3155
Epoch 8958/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.6949e-05 - accuracy: 1.0000 - val_loss: 14.3714 - val_accuracy: 0.3157
Epoch 8959/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.6487e-05 - accuracy: 1.0000 - val_loss: 14.3758 - val_accuracy: 0.3155
Epoch 8960/10000
16/16 [==============================] - 1s 41ms/step - loss: 4.6042e-05 - accuracy: 1.0000 - val_loss: 14.3793 - val_accuracy: 0.3155
Epoch 8961/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.5624e-05 - accuracy: 1.0000 - val_loss: 14.3837 - val_accuracy: 0.3158
Epoch 8962/10000
16/16 [==============================] - 1s 42ms/step - loss: 4.5225e-05 - accuracy: 1.0000 - val_loss: 14.3882 - val_accuracy: 0.3158
Epoch 8963/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.4874e-05 - accuracy: 1.0000 - val_loss: 14.3927 - val_accuracy: 0.3160
Epoch 8964/10000
16/16 [==============================] - 1s 42ms/step - loss: 4.4385e-05 - accuracy: 1.0000 - val_loss: 14.3971 - val_accuracy: 0.3160
Epoch 8965/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.4030e-05 - accuracy: 1.0000 - val_loss: 14.4017 - val_accuracy: 0.3159
Epoch 8966/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.3680e-05 - accuracy: 1.0000 - val_loss: 14.4048 - val_accuracy: 0.3161
Epoch 8967/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.3251e-05 - accuracy: 1.0000 - val_loss: 14.4085 - val_accuracy: 0.3160
Epoch 8968/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.2985e-05 - accuracy: 1.0000 - val_loss: 14.4134 - val_accuracy: 0.3159
Epoch 8969/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.2485e-05 - accuracy: 1.0000 - val_loss: 14.4174 - val_accuracy: 0.3160
Epoch 8970/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.2166e-05 - accuracy: 1.0000 - val_loss: 14.4223 - val_accuracy: 0.3159
Epoch 8971/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.1796e-05 - accuracy: 1.0000 - val_loss: 14.4258 - val_accuracy: 0.3158
Epoch 8972/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.1380e-05 - accuracy: 1.0000 - val_loss: 14.4306 - val_accuracy: 0.3159
Epoch 8973/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.0992e-05 - accuracy: 1.0000 - val_loss: 14.4346 - val_accuracy: 0.3158
Epoch 8974/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.0680e-05 - accuracy: 1.0000 - val_loss: 14.4404 - val_accuracy: 0.3158
Epoch 8975/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.0365e-05 - accuracy: 1.0000 - val_loss: 14.4434 - val_accuracy: 0.3154
Epoch 8976/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.9912e-05 - accuracy: 1.0000 - val_loss: 14.4480 - val_accuracy: 0.3153
Epoch 8977/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.9581e-05 - accuracy: 1.0000 - val_loss: 14.4516 - val_accuracy: 0.3152
Epoch 8978/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.9223e-05 - accuracy: 1.0000 - val_loss: 14.4563 - val_accuracy: 0.3151
Epoch 8979/10000
16/16 [==============================] - 1s 41ms/step - loss: 3.8911e-05 - accuracy: 1.0000 - val_loss: 14.4601 - val_accuracy: 0.3151
Epoch 8980/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.8592e-05 - accuracy: 1.0000 - val_loss: 14.4655 - val_accuracy: 0.3155
Epoch 8981/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.8229e-05 - accuracy: 1.0000 - val_loss: 14.4699 - val_accuracy: 0.3154
Epoch 8982/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.7889e-05 - accuracy: 1.0000 - val_loss: 14.4730 - val_accuracy: 0.3156
Epoch 8983/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.7549e-05 - accuracy: 1.0000 - val_loss: 14.4768 - val_accuracy: 0.3155
Epoch 8984/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.7284e-05 - accuracy: 1.0000 - val_loss: 14.4823 - val_accuracy: 0.3154
Epoch 8985/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.6917e-05 - accuracy: 1.0000 - val_loss: 14.4869 - val_accuracy: 0.3153
Epoch 8986/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.6586e-05 - accuracy: 1.0000 - val_loss: 14.4919 - val_accuracy: 0.3152
Epoch 8987/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.6241e-05 - accuracy: 1.0000 - val_loss: 14.4960 - val_accuracy: 0.3151
Epoch 8988/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.5934e-05 - accuracy: 1.0000 - val_loss: 14.5004 - val_accuracy: 0.3152
Epoch 8989/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.5629e-05 - accuracy: 1.0000 - val_loss: 14.5042 - val_accuracy: 0.3151
Epoch 8990/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.5349e-05 - accuracy: 1.0000 - val_loss: 14.5092 - val_accuracy: 0.3153
Epoch 8991/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.5056e-05 - accuracy: 1.0000 - val_loss: 14.5135 - val_accuracy: 0.3152
Epoch 8992/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.4732e-05 - accuracy: 1.0000 - val_loss: 14.5181 - val_accuracy: 0.3152
Epoch 8993/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.4411e-05 - accuracy: 1.0000 - val_loss: 14.5206 - val_accuracy: 0.3151
Epoch 8994/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.4134e-05 - accuracy: 1.0000 - val_loss: 14.5257 - val_accuracy: 0.3152
Epoch 8995/10000
16/16 [==============================] - 1s 41ms/step - loss: 3.3869e-05 - accuracy: 1.0000 - val_loss: 14.5297 - val_accuracy: 0.3152
Epoch 8996/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.3568e-05 - accuracy: 1.0000 - val_loss: 14.5350 - val_accuracy: 0.3154
Epoch 8997/10000
16/16 [==============================] - 1s 42ms/step - loss: 3.3288e-05 - accuracy: 1.0000 - val_loss: 14.5397 - val_accuracy: 0.3153
Epoch 8998/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.2935e-05 - accuracy: 1.0000 - val_loss: 14.5441 - val_accuracy: 0.3152
Epoch 8999/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.2646e-05 - accuracy: 1.0000 - val_loss: 14.5491 - val_accuracy: 0.3156
Epoch 9000/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.2370e-05 - accuracy: 1.0000 - val_loss: 14.5531 - val_accuracy: 0.3154
Epoch 9001/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.2093e-05 - accuracy: 1.0000 - val_loss: 14.5567 - val_accuracy: 0.3155
Epoch 9002/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.1842e-05 - accuracy: 1.0000 - val_loss: 14.5613 - val_accuracy: 0.3155
Epoch 9003/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.1546e-05 - accuracy: 1.0000 - val_loss: 14.5661 - val_accuracy: 0.3156
Epoch 9004/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.1257e-05 - accuracy: 1.0000 - val_loss: 14.5707 - val_accuracy: 0.3154
Epoch 9005/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.0979e-05 - accuracy: 1.0000 - val_loss: 14.5748 - val_accuracy: 0.3153
Epoch 9006/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.0700e-05 - accuracy: 1.0000 - val_loss: 14.5802 - val_accuracy: 0.3153
Epoch 9007/10000
16/16 [==============================] - 1s 42ms/step - loss: 3.0464e-05 - accuracy: 1.0000 - val_loss: 14.5845 - val_accuracy: 0.3153
Epoch 9008/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.0178e-05 - accuracy: 1.0000 - val_loss: 14.5894 - val_accuracy: 0.3152
Epoch 9009/10000
16/16 [==============================] - 1s 42ms/step - loss: 2.9948e-05 - accuracy: 1.0000 - val_loss: 14.5935 - val_accuracy: 0.3150
Epoch 9010/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.9659e-05 - accuracy: 1.0000 - val_loss: 14.5981 - val_accuracy: 0.3150
Epoch 9011/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.9392e-05 - accuracy: 1.0000 - val_loss: 14.6025 - val_accuracy: 0.3150
Epoch 9012/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.9267e-05 - accuracy: 1.0000 - val_loss: 14.6051 - val_accuracy: 0.3153
Epoch 9013/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.8963e-05 - accuracy: 1.0000 - val_loss: 14.6103 - val_accuracy: 0.3150
Epoch 9014/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.8665e-05 - accuracy: 1.0000 - val_loss: 14.6153 - val_accuracy: 0.3151
Epoch 9015/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.8393e-05 - accuracy: 1.0000 - val_loss: 14.6191 - val_accuracy: 0.3152
Epoch 9016/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.8146e-05 - accuracy: 1.0000 - val_loss: 14.6242 - val_accuracy: 0.3153
Epoch 9017/10000
16/16 [==============================] - 1s 38ms/step - loss: 2.7932e-05 - accuracy: 1.0000 - val_loss: 14.6285 - val_accuracy: 0.3152
Epoch 9018/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.7690e-05 - accuracy: 1.0000 - val_loss: 14.6329 - val_accuracy: 0.3155
Epoch 9019/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.7492e-05 - accuracy: 1.0000 - val_loss: 14.6373 - val_accuracy: 0.3155
Epoch 9020/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.7216e-05 - accuracy: 1.0000 - val_loss: 14.6412 - val_accuracy: 0.3154
Epoch 9021/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.6986e-05 - accuracy: 1.0000 - val_loss: 14.6448 - val_accuracy: 0.3156
Epoch 9022/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.6748e-05 - accuracy: 1.0000 - val_loss: 14.6493 - val_accuracy: 0.3156
Epoch 9023/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.6554e-05 - accuracy: 1.0000 - val_loss: 14.6536 - val_accuracy: 0.3155
Epoch 9024/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.6299e-05 - accuracy: 1.0000 - val_loss: 14.6578 - val_accuracy: 0.3155
Epoch 9025/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.6053e-05 - accuracy: 1.0000 - val_loss: 14.6620 - val_accuracy: 0.3156
Epoch 9026/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.5839e-05 - accuracy: 1.0000 - val_loss: 14.6663 - val_accuracy: 0.3156
Epoch 9027/10000
16/16 [==============================] - 1s 42ms/step - loss: 2.5611e-05 - accuracy: 1.0000 - val_loss: 14.6716 - val_accuracy: 0.3156
Epoch 9028/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.5402e-05 - accuracy: 1.0000 - val_loss: 14.6751 - val_accuracy: 0.3155
Epoch 9029/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.5247e-05 - accuracy: 1.0000 - val_loss: 14.6787 - val_accuracy: 0.3157
Epoch 9030/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.4993e-05 - accuracy: 1.0000 - val_loss: 14.6837 - val_accuracy: 0.3157
Epoch 9031/10000
16/16 [==============================] - 1s 42ms/step - loss: 2.4752e-05 - accuracy: 1.0000 - val_loss: 14.6868 - val_accuracy: 0.3158
Epoch 9032/10000
16/16 [==============================] - 1s 42ms/step - loss: 2.4553e-05 - accuracy: 1.0000 - val_loss: 14.6910 - val_accuracy: 0.3158
Epoch 9033/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.4354e-05 - accuracy: 1.0000 - val_loss: 14.6954 - val_accuracy: 0.3158
Epoch 9034/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.4144e-05 - accuracy: 1.0000 - val_loss: 14.6992 - val_accuracy: 0.3159
Epoch 9035/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.3941e-05 - accuracy: 1.0000 - val_loss: 14.7042 - val_accuracy: 0.3162
Epoch 9036/10000
16/16 [==============================] - 1s 42ms/step - loss: 2.3750e-05 - accuracy: 1.0000 - val_loss: 14.7091 - val_accuracy: 0.3161
Epoch 9037/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.3548e-05 - accuracy: 1.0000 - val_loss: 14.7123 - val_accuracy: 0.3163
Epoch 9038/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.3311e-05 - accuracy: 1.0000 - val_loss: 14.7169 - val_accuracy: 0.3159
Epoch 9039/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.3137e-05 - accuracy: 1.0000 - val_loss: 14.7209 - val_accuracy: 0.3159
Epoch 9040/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.2940e-05 - accuracy: 1.0000 - val_loss: 14.7265 - val_accuracy: 0.3160
Epoch 9041/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.2727e-05 - accuracy: 1.0000 - val_loss: 14.7297 - val_accuracy: 0.3162
Epoch 9042/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.2563e-05 - accuracy: 1.0000 - val_loss: 14.7351 - val_accuracy: 0.3159
Epoch 9043/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.2329e-05 - accuracy: 1.0000 - val_loss: 14.7391 - val_accuracy: 0.3162
Epoch 9044/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.2196e-05 - accuracy: 1.0000 - val_loss: 14.7436 - val_accuracy: 0.3161
Epoch 9045/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.1957e-05 - accuracy: 1.0000 - val_loss: 14.7478 - val_accuracy: 0.3161
Epoch 9046/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.1830e-05 - accuracy: 1.0000 - val_loss: 14.7517 - val_accuracy: 0.3161
Epoch 9047/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.1627e-05 - accuracy: 1.0000 - val_loss: 14.7558 - val_accuracy: 0.3162
Epoch 9048/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.1402e-05 - accuracy: 1.0000 - val_loss: 14.7604 - val_accuracy: 0.3163
Epoch 9049/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.1224e-05 - accuracy: 1.0000 - val_loss: 14.7650 - val_accuracy: 0.3162
Epoch 9050/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.1026e-05 - accuracy: 1.0000 - val_loss: 14.7684 - val_accuracy: 0.3161
Epoch 9051/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.0860e-05 - accuracy: 1.0000 - val_loss: 14.7724 - val_accuracy: 0.3162
Epoch 9052/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.0674e-05 - accuracy: 1.0000 - val_loss: 14.7772 - val_accuracy: 0.3161
Epoch 9053/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.0494e-05 - accuracy: 1.0000 - val_loss: 14.7813 - val_accuracy: 0.3161
Epoch 9054/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.0325e-05 - accuracy: 1.0000 - val_loss: 14.7861 - val_accuracy: 0.3162
Epoch 9055/10000
16/16 [==============================] - 1s 38ms/step - loss: 2.0137e-05 - accuracy: 1.0000 - val_loss: 14.7899 - val_accuracy: 0.3162
Epoch 9056/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.9963e-05 - accuracy: 1.0000 - val_loss: 14.7940 - val_accuracy: 0.3163
Epoch 9057/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.9815e-05 - accuracy: 1.0000 - val_loss: 14.7985 - val_accuracy: 0.3162
Epoch 9058/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.9652e-05 - accuracy: 1.0000 - val_loss: 14.8038 - val_accuracy: 0.3162
Epoch 9059/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.9471e-05 - accuracy: 1.0000 - val_loss: 14.8082 - val_accuracy: 0.3162
Epoch 9060/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.9279e-05 - accuracy: 1.0000 - val_loss: 14.8128 - val_accuracy: 0.3161
Epoch 9061/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.9103e-05 - accuracy: 1.0000 - val_loss: 14.8167 - val_accuracy: 0.3162
Epoch 9062/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.8951e-05 - accuracy: 1.0000 - val_loss: 14.8214 - val_accuracy: 0.3162
Epoch 9063/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.8816e-05 - accuracy: 1.0000 - val_loss: 14.8250 - val_accuracy: 0.3162
Epoch 9064/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.8630e-05 - accuracy: 1.0000 - val_loss: 14.8300 - val_accuracy: 0.3162
Epoch 9065/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.8470e-05 - accuracy: 1.0000 - val_loss: 14.8349 - val_accuracy: 0.3163
Epoch 9066/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.8322e-05 - accuracy: 1.0000 - val_loss: 14.8377 - val_accuracy: 0.3164
Epoch 9067/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.8133e-05 - accuracy: 1.0000 - val_loss: 14.8414 - val_accuracy: 0.3164
Epoch 9068/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.7964e-05 - accuracy: 1.0000 - val_loss: 14.8458 - val_accuracy: 0.3163
Epoch 9069/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.7826e-05 - accuracy: 1.0000 - val_loss: 14.8509 - val_accuracy: 0.3164
Epoch 9070/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.7672e-05 - accuracy: 1.0000 - val_loss: 14.8553 - val_accuracy: 0.3166
Epoch 9071/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.7513e-05 - accuracy: 1.0000 - val_loss: 14.8598 - val_accuracy: 0.3166
Epoch 9072/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.7358e-05 - accuracy: 1.0000 - val_loss: 14.8638 - val_accuracy: 0.3164
Epoch 9073/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.7199e-05 - accuracy: 1.0000 - val_loss: 14.8687 - val_accuracy: 0.3164
Epoch 9074/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.7039e-05 - accuracy: 1.0000 - val_loss: 14.8736 - val_accuracy: 0.3164
Epoch 9075/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.6891e-05 - accuracy: 1.0000 - val_loss: 14.8775 - val_accuracy: 0.3163
Epoch 9076/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.6743e-05 - accuracy: 1.0000 - val_loss: 14.8816 - val_accuracy: 0.3167
Epoch 9077/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.6589e-05 - accuracy: 1.0000 - val_loss: 14.8864 - val_accuracy: 0.3165
Epoch 9078/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.6460e-05 - accuracy: 1.0000 - val_loss: 14.8911 - val_accuracy: 0.3167
Epoch 9079/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.6317e-05 - accuracy: 1.0000 - val_loss: 14.8941 - val_accuracy: 0.3167
Epoch 9080/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.6157e-05 - accuracy: 1.0000 - val_loss: 14.8995 - val_accuracy: 0.3170
Epoch 9081/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.6023e-05 - accuracy: 1.0000 - val_loss: 14.9036 - val_accuracy: 0.3168
Epoch 9082/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.5881e-05 - accuracy: 1.0000 - val_loss: 14.9072 - val_accuracy: 0.3170
Epoch 9083/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.5736e-05 - accuracy: 1.0000 - val_loss: 14.9121 - val_accuracy: 0.3167
Epoch 9084/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.5605e-05 - accuracy: 1.0000 - val_loss: 14.9159 - val_accuracy: 0.3167
Epoch 9085/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.5482e-05 - accuracy: 1.0000 - val_loss: 14.9214 - val_accuracy: 0.3165
Epoch 9086/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.5315e-05 - accuracy: 1.0000 - val_loss: 14.9260 - val_accuracy: 0.3164
Epoch 9087/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.5219e-05 - accuracy: 1.0000 - val_loss: 14.9298 - val_accuracy: 0.3165
Epoch 9088/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.5050e-05 - accuracy: 1.0000 - val_loss: 14.9335 - val_accuracy: 0.3165
Epoch 9089/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.4921e-05 - accuracy: 1.0000 - val_loss: 14.9376 - val_accuracy: 0.3166
Epoch 9090/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.4769e-05 - accuracy: 1.0000 - val_loss: 14.9425 - val_accuracy: 0.3165
Epoch 9091/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.4662e-05 - accuracy: 1.0000 - val_loss: 14.9474 - val_accuracy: 0.3165
Epoch 9092/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.4515e-05 - accuracy: 1.0000 - val_loss: 14.9509 - val_accuracy: 0.3165
Epoch 9093/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.4390e-05 - accuracy: 1.0000 - val_loss: 14.9563 - val_accuracy: 0.3165
Epoch 9094/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.4262e-05 - accuracy: 1.0000 - val_loss: 14.9596 - val_accuracy: 0.3163
Epoch 9095/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.4144e-05 - accuracy: 1.0000 - val_loss: 14.9635 - val_accuracy: 0.3162
Epoch 9096/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.4026e-05 - accuracy: 1.0000 - val_loss: 14.9676 - val_accuracy: 0.3165
Epoch 9097/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.3910e-05 - accuracy: 1.0000 - val_loss: 14.9725 - val_accuracy: 0.3163
Epoch 9098/10000
16/16 [==============================] - 1s 43ms/step - loss: 1.3768e-05 - accuracy: 1.0000 - val_loss: 14.9766 - val_accuracy: 0.3163
Epoch 9099/10000
16/16 [==============================] - 1s 43ms/step - loss: 1.3652e-05 - accuracy: 1.0000 - val_loss: 14.9806 - val_accuracy: 0.3163
Epoch 9100/10000
16/16 [==============================] - 1s 44ms/step - loss: 1.3534e-05 - accuracy: 1.0000 - val_loss: 14.9847 - val_accuracy: 0.3163
Epoch 9101/10000
16/16 [==============================] - 1s 43ms/step - loss: 1.3433e-05 - accuracy: 1.0000 - val_loss: 14.9892 - val_accuracy: 0.3163
Epoch 9102/10000
16/16 [==============================] - 1s 45ms/step - loss: 1.3321e-05 - accuracy: 1.0000 - val_loss: 14.9949 - val_accuracy: 0.3161
Epoch 9103/10000
16/16 [==============================] - 1s 43ms/step - loss: 1.3189e-05 - accuracy: 1.0000 - val_loss: 14.9979 - val_accuracy: 0.3161
Epoch 9104/10000
16/16 [==============================] - 1s 43ms/step - loss: 1.3070e-05 - accuracy: 1.0000 - val_loss: 15.0027 - val_accuracy: 0.3163
Epoch 9105/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.2965e-05 - accuracy: 1.0000 - val_loss: 15.0068 - val_accuracy: 0.3164
Epoch 9106/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.2846e-05 - accuracy: 1.0000 - val_loss: 15.0112 - val_accuracy: 0.3163
Epoch 9107/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.2725e-05 - accuracy: 1.0000 - val_loss: 15.0160 - val_accuracy: 0.3161
Epoch 9108/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.2620e-05 - accuracy: 1.0000 - val_loss: 15.0201 - val_accuracy: 0.3162
Epoch 9109/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.2512e-05 - accuracy: 1.0000 - val_loss: 15.0245 - val_accuracy: 0.3164
Epoch 9110/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.2396e-05 - accuracy: 1.0000 - val_loss: 15.0285 - val_accuracy: 0.3164
Epoch 9111/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.2288e-05 - accuracy: 1.0000 - val_loss: 15.0335 - val_accuracy: 0.3162
Epoch 9112/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.2172e-05 - accuracy: 1.0000 - val_loss: 15.0367 - val_accuracy: 0.3164
Epoch 9113/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.2087e-05 - accuracy: 1.0000 - val_loss: 15.0407 - val_accuracy: 0.3161
Epoch 9114/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.1973e-05 - accuracy: 1.0000 - val_loss: 15.0462 - val_accuracy: 0.3160
Epoch 9115/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.1852e-05 - accuracy: 1.0000 - val_loss: 15.0500 - val_accuracy: 0.3163
Epoch 9116/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.1748e-05 - accuracy: 1.0000 - val_loss: 15.0549 - val_accuracy: 0.3161
Epoch 9117/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.1652e-05 - accuracy: 1.0000 - val_loss: 15.0598 - val_accuracy: 0.3162
Epoch 9118/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.1539e-05 - accuracy: 1.0000 - val_loss: 15.0637 - val_accuracy: 0.3163
Epoch 9119/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.1437e-05 - accuracy: 1.0000 - val_loss: 15.0678 - val_accuracy: 0.3164
Epoch 9120/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.1334e-05 - accuracy: 1.0000 - val_loss: 15.0721 - val_accuracy: 0.3165
Epoch 9121/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.1239e-05 - accuracy: 1.0000 - val_loss: 15.0764 - val_accuracy: 0.3164
Epoch 9122/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.1137e-05 - accuracy: 1.0000 - val_loss: 15.0807 - val_accuracy: 0.3164
Epoch 9123/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.1056e-05 - accuracy: 1.0000 - val_loss: 15.0849 - val_accuracy: 0.3160
Epoch 9124/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.0958e-05 - accuracy: 1.0000 - val_loss: 15.0895 - val_accuracy: 0.3159
Epoch 9125/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0846e-05 - accuracy: 1.0000 - val_loss: 15.0936 - val_accuracy: 0.3161
Epoch 9126/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.0744e-05 - accuracy: 1.0000 - val_loss: 15.0975 - val_accuracy: 0.3160
Epoch 9127/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.0650e-05 - accuracy: 1.0000 - val_loss: 15.1019 - val_accuracy: 0.3161
Epoch 9128/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0579e-05 - accuracy: 1.0000 - val_loss: 15.1070 - val_accuracy: 0.3160
Epoch 9129/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.0488e-05 - accuracy: 1.0000 - val_loss: 15.1101 - val_accuracy: 0.3160
Epoch 9130/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0375e-05 - accuracy: 1.0000 - val_loss: 15.1148 - val_accuracy: 0.3160
Epoch 9131/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0283e-05 - accuracy: 1.0000 - val_loss: 15.1189 - val_accuracy: 0.3160
Epoch 9132/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.0193e-05 - accuracy: 1.0000 - val_loss: 15.1234 - val_accuracy: 0.3160
Epoch 9133/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.0123e-05 - accuracy: 1.0000 - val_loss: 15.1273 - val_accuracy: 0.3160
Epoch 9134/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0036e-05 - accuracy: 1.0000 - val_loss: 15.1313 - val_accuracy: 0.3161
Epoch 9135/10000
16/16 [==============================] - 1s 42ms/step - loss: 9.9303e-06 - accuracy: 1.0000 - val_loss: 15.1350 - val_accuracy: 0.3161
Epoch 9136/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.8702e-06 - accuracy: 1.0000 - val_loss: 15.1398 - val_accuracy: 0.3161
Epoch 9137/10000
16/16 [==============================] - 1s 41ms/step - loss: 9.7722e-06 - accuracy: 1.0000 - val_loss: 15.1435 - val_accuracy: 0.3161
Epoch 9138/10000
16/16 [==============================] - 1s 42ms/step - loss: 9.6842e-06 - accuracy: 1.0000 - val_loss: 15.1480 - val_accuracy: 0.3160
Epoch 9139/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.6037e-06 - accuracy: 1.0000 - val_loss: 15.1520 - val_accuracy: 0.3159
Epoch 9140/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.5162e-06 - accuracy: 1.0000 - val_loss: 15.1561 - val_accuracy: 0.3159
Epoch 9141/10000
16/16 [==============================] - 1s 41ms/step - loss: 9.4423e-06 - accuracy: 1.0000 - val_loss: 15.1596 - val_accuracy: 0.3161
Epoch 9142/10000
16/16 [==============================] - 1s 41ms/step - loss: 9.3691e-06 - accuracy: 1.0000 - val_loss: 15.1642 - val_accuracy: 0.3159
Epoch 9143/10000
16/16 [==============================] - 1s 41ms/step - loss: 9.2754e-06 - accuracy: 1.0000 - val_loss: 15.1690 - val_accuracy: 0.3157
Epoch 9144/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.1991e-06 - accuracy: 1.0000 - val_loss: 15.1728 - val_accuracy: 0.3158
Epoch 9145/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.1223e-06 - accuracy: 1.0000 - val_loss: 15.1768 - val_accuracy: 0.3158
Epoch 9146/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.0561e-06 - accuracy: 1.0000 - val_loss: 15.1809 - val_accuracy: 0.3159
Epoch 9147/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.9717e-06 - accuracy: 1.0000 - val_loss: 15.1847 - val_accuracy: 0.3158
Epoch 9148/10000
16/16 [==============================] - 1s 42ms/step - loss: 8.8925e-06 - accuracy: 1.0000 - val_loss: 15.1886 - val_accuracy: 0.3158
Epoch 9149/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.8172e-06 - accuracy: 1.0000 - val_loss: 15.1927 - val_accuracy: 0.3159
Epoch 9150/10000
16/16 [==============================] - 1s 41ms/step - loss: 8.7535e-06 - accuracy: 1.0000 - val_loss: 15.1971 - val_accuracy: 0.3160
Epoch 9151/10000
16/16 [==============================] - 1s 41ms/step - loss: 8.6806e-06 - accuracy: 1.0000 - val_loss: 15.2014 - val_accuracy: 0.3159
Epoch 9152/10000
16/16 [==============================] - 1s 41ms/step - loss: 8.6098e-06 - accuracy: 1.0000 - val_loss: 15.2055 - val_accuracy: 0.3160
Epoch 9153/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.5463e-06 - accuracy: 1.0000 - val_loss: 15.2095 - val_accuracy: 0.3161
Epoch 9154/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.4710e-06 - accuracy: 1.0000 - val_loss: 15.2129 - val_accuracy: 0.3158
Epoch 9155/10000
16/16 [==============================] - 1s 41ms/step - loss: 8.4040e-06 - accuracy: 1.0000 - val_loss: 15.2169 - val_accuracy: 0.3157
Epoch 9156/10000
16/16 [==============================] - 1s 41ms/step - loss: 8.3289e-06 - accuracy: 1.0000 - val_loss: 15.2223 - val_accuracy: 0.3161
Epoch 9157/10000
16/16 [==============================] - 1s 41ms/step - loss: 8.2529e-06 - accuracy: 1.0000 - val_loss: 15.2255 - val_accuracy: 0.3160
Epoch 9158/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.1911e-06 - accuracy: 1.0000 - val_loss: 15.2297 - val_accuracy: 0.3161
Epoch 9159/10000
16/16 [==============================] - 1s 41ms/step - loss: 8.1291e-06 - accuracy: 1.0000 - val_loss: 15.2334 - val_accuracy: 0.3162
Epoch 9160/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.0574e-06 - accuracy: 1.0000 - val_loss: 15.2380 - val_accuracy: 0.3159
Epoch 9161/10000
16/16 [==============================] - 1s 41ms/step - loss: 7.9928e-06 - accuracy: 1.0000 - val_loss: 15.2424 - val_accuracy: 0.3162
Epoch 9162/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.9408e-06 - accuracy: 1.0000 - val_loss: 15.2460 - val_accuracy: 0.3162
Epoch 9163/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.8652e-06 - accuracy: 1.0000 - val_loss: 15.2503 - val_accuracy: 0.3162
Epoch 9164/10000
16/16 [==============================] - 1s 41ms/step - loss: 7.8018e-06 - accuracy: 1.0000 - val_loss: 15.2541 - val_accuracy: 0.3161
Epoch 9165/10000
16/16 [==============================] - 1s 41ms/step - loss: 7.7446e-06 - accuracy: 1.0000 - val_loss: 15.2570 - val_accuracy: 0.3159
Epoch 9166/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.6840e-06 - accuracy: 1.0000 - val_loss: 15.2618 - val_accuracy: 0.3160
Epoch 9167/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.6032e-06 - accuracy: 1.0000 - val_loss: 15.2653 - val_accuracy: 0.3161
Epoch 9168/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.5555e-06 - accuracy: 1.0000 - val_loss: 15.2695 - val_accuracy: 0.3161
Epoch 9169/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.4850e-06 - accuracy: 1.0000 - val_loss: 15.2735 - val_accuracy: 0.3162
Epoch 9170/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.4196e-06 - accuracy: 1.0000 - val_loss: 15.2783 - val_accuracy: 0.3163
Epoch 9171/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.3636e-06 - accuracy: 1.0000 - val_loss: 15.2823 - val_accuracy: 0.3162
Epoch 9172/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.3093e-06 - accuracy: 1.0000 - val_loss: 15.2862 - val_accuracy: 0.3164
Epoch 9173/10000
16/16 [==============================] - 1s 41ms/step - loss: 7.2544e-06 - accuracy: 1.0000 - val_loss: 15.2896 - val_accuracy: 0.3164
Epoch 9174/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.2003e-06 - accuracy: 1.0000 - val_loss: 15.2940 - val_accuracy: 0.3164
Epoch 9175/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.1307e-06 - accuracy: 1.0000 - val_loss: 15.2984 - val_accuracy: 0.3166
Epoch 9176/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.0763e-06 - accuracy: 1.0000 - val_loss: 15.3020 - val_accuracy: 0.3167
Epoch 9177/10000
16/16 [==============================] - 1s 41ms/step - loss: 7.0160e-06 - accuracy: 1.0000 - val_loss: 15.3061 - val_accuracy: 0.3169
Epoch 9178/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.9633e-06 - accuracy: 1.0000 - val_loss: 15.3121 - val_accuracy: 0.3168
Epoch 9179/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.9090e-06 - accuracy: 1.0000 - val_loss: 15.3148 - val_accuracy: 0.3169
Epoch 9180/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.8432e-06 - accuracy: 1.0000 - val_loss: 15.3185 - val_accuracy: 0.3170
Epoch 9181/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.7936e-06 - accuracy: 1.0000 - val_loss: 15.3226 - val_accuracy: 0.3169
Epoch 9182/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.7290e-06 - accuracy: 1.0000 - val_loss: 15.3268 - val_accuracy: 0.3168
Epoch 9183/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.6744e-06 - accuracy: 1.0000 - val_loss: 15.3310 - val_accuracy: 0.3168
Epoch 9184/10000
16/16 [==============================] - 1s 41ms/step - loss: 6.6253e-06 - accuracy: 1.0000 - val_loss: 15.3354 - val_accuracy: 0.3167
Epoch 9185/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.5661e-06 - accuracy: 1.0000 - val_loss: 15.3395 - val_accuracy: 0.3168
Epoch 9186/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.5085e-06 - accuracy: 1.0000 - val_loss: 15.3437 - val_accuracy: 0.3167
Epoch 9187/10000
16/16 [==============================] - 1s 41ms/step - loss: 6.4646e-06 - accuracy: 1.0000 - val_loss: 15.3474 - val_accuracy: 0.3167
Epoch 9188/10000
16/16 [==============================] - 1s 42ms/step - loss: 6.4059e-06 - accuracy: 1.0000 - val_loss: 15.3508 - val_accuracy: 0.3169
Epoch 9189/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.3485e-06 - accuracy: 1.0000 - val_loss: 15.3561 - val_accuracy: 0.3170
Epoch 9190/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.2925e-06 - accuracy: 1.0000 - val_loss: 15.3594 - val_accuracy: 0.3169
Epoch 9191/10000
16/16 [==============================] - 1s 42ms/step - loss: 6.2474e-06 - accuracy: 1.0000 - val_loss: 15.3635 - val_accuracy: 0.3169
Epoch 9192/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.1971e-06 - accuracy: 1.0000 - val_loss: 15.3669 - val_accuracy: 0.3168
Epoch 9193/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.1444e-06 - accuracy: 1.0000 - val_loss: 15.3706 - val_accuracy: 0.3169
Epoch 9194/10000
16/16 [==============================] - 1s 41ms/step - loss: 6.0953e-06 - accuracy: 1.0000 - val_loss: 15.3747 - val_accuracy: 0.3169
Epoch 9195/10000
16/16 [==============================] - 1s 41ms/step - loss: 6.0436e-06 - accuracy: 1.0000 - val_loss: 15.3785 - val_accuracy: 0.3168
Epoch 9196/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.9985e-06 - accuracy: 1.0000 - val_loss: 15.3833 - val_accuracy: 0.3168
Epoch 9197/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.9539e-06 - accuracy: 1.0000 - val_loss: 15.3863 - val_accuracy: 0.3168
Epoch 9198/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.9058e-06 - accuracy: 1.0000 - val_loss: 15.3900 - val_accuracy: 0.3166
Epoch 9199/10000
16/16 [==============================] - 1s 42ms/step - loss: 5.8616e-06 - accuracy: 1.0000 - val_loss: 15.3939 - val_accuracy: 0.3167
Epoch 9200/10000
16/16 [==============================] - 1s 41ms/step - loss: 5.8369e-06 - accuracy: 1.0000 - val_loss: 15.3976 - val_accuracy: 0.3165
Epoch 9201/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.7682e-06 - accuracy: 1.0000 - val_loss: 15.4013 - val_accuracy: 0.3164
Epoch 9202/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.7241e-06 - accuracy: 1.0000 - val_loss: 15.4060 - val_accuracy: 0.3166
Epoch 9203/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.6869e-06 - accuracy: 1.0000 - val_loss: 15.4093 - val_accuracy: 0.3165
Epoch 9204/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.6359e-06 - accuracy: 1.0000 - val_loss: 15.4125 - val_accuracy: 0.3165
Epoch 9205/10000
16/16 [==============================] - 1s 42ms/step - loss: 5.5915e-06 - accuracy: 1.0000 - val_loss: 15.4179 - val_accuracy: 0.3165
Epoch 9206/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.5508e-06 - accuracy: 1.0000 - val_loss: 15.4224 - val_accuracy: 0.3165
Epoch 9207/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.4931e-06 - accuracy: 1.0000 - val_loss: 15.4260 - val_accuracy: 0.3167
Epoch 9208/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.4652e-06 - accuracy: 1.0000 - val_loss: 15.4288 - val_accuracy: 0.3166
Epoch 9209/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.4122e-06 - accuracy: 1.0000 - val_loss: 15.4331 - val_accuracy: 0.3167
Epoch 9210/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.3679e-06 - accuracy: 1.0000 - val_loss: 15.4375 - val_accuracy: 0.3167
Epoch 9211/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.3352e-06 - accuracy: 1.0000 - val_loss: 15.4410 - val_accuracy: 0.3169
Epoch 9212/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.2959e-06 - accuracy: 1.0000 - val_loss: 15.4445 - val_accuracy: 0.3168
Epoch 9213/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.2439e-06 - accuracy: 1.0000 - val_loss: 15.4493 - val_accuracy: 0.3169
Epoch 9214/10000
16/16 [==============================] - 1s 41ms/step - loss: 5.2115e-06 - accuracy: 1.0000 - val_loss: 15.4532 - val_accuracy: 0.3170
Epoch 9215/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.1674e-06 - accuracy: 1.0000 - val_loss: 15.4564 - val_accuracy: 0.3169
Epoch 9216/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.1211e-06 - accuracy: 1.0000 - val_loss: 15.4621 - val_accuracy: 0.3170
Epoch 9217/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.0866e-06 - accuracy: 1.0000 - val_loss: 15.4654 - val_accuracy: 0.3170
Epoch 9218/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.0396e-06 - accuracy: 1.0000 - val_loss: 15.4680 - val_accuracy: 0.3170
Epoch 9219/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.9998e-06 - accuracy: 1.0000 - val_loss: 15.4730 - val_accuracy: 0.3171
Epoch 9220/10000
16/16 [==============================] - 1s 41ms/step - loss: 4.9631e-06 - accuracy: 1.0000 - val_loss: 15.4772 - val_accuracy: 0.3169
Epoch 9221/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.9235e-06 - accuracy: 1.0000 - val_loss: 15.4817 - val_accuracy: 0.3169
Epoch 9222/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.8846e-06 - accuracy: 1.0000 - val_loss: 15.4855 - val_accuracy: 0.3170
Epoch 9223/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.8465e-06 - accuracy: 1.0000 - val_loss: 15.4891 - val_accuracy: 0.3171
Epoch 9224/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.8103e-06 - accuracy: 1.0000 - val_loss: 15.4932 - val_accuracy: 0.3169
Epoch 9225/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.7733e-06 - accuracy: 1.0000 - val_loss: 15.4974 - val_accuracy: 0.3169
Epoch 9226/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.7421e-06 - accuracy: 1.0000 - val_loss: 15.5007 - val_accuracy: 0.3168
Epoch 9227/10000
16/16 [==============================] - 1s 42ms/step - loss: 4.7025e-06 - accuracy: 1.0000 - val_loss: 15.5046 - val_accuracy: 0.3170
Epoch 9228/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.6655e-06 - accuracy: 1.0000 - val_loss: 15.5086 - val_accuracy: 0.3169
Epoch 9229/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.6238e-06 - accuracy: 1.0000 - val_loss: 15.5129 - val_accuracy: 0.3168
Epoch 9230/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.5878e-06 - accuracy: 1.0000 - val_loss: 15.5175 - val_accuracy: 0.3168
Epoch 9231/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.5521e-06 - accuracy: 1.0000 - val_loss: 15.5218 - val_accuracy: 0.3168
Epoch 9232/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.5239e-06 - accuracy: 1.0000 - val_loss: 15.5253 - val_accuracy: 0.3166
Epoch 9233/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.4896e-06 - accuracy: 1.0000 - val_loss: 15.5284 - val_accuracy: 0.3169
Epoch 9234/10000
16/16 [==============================] - 1s 41ms/step - loss: 4.4484e-06 - accuracy: 1.0000 - val_loss: 15.5320 - val_accuracy: 0.3169
Epoch 9235/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.4138e-06 - accuracy: 1.0000 - val_loss: 15.5373 - val_accuracy: 0.3169
Epoch 9236/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.3756e-06 - accuracy: 1.0000 - val_loss: 15.5410 - val_accuracy: 0.3167
Epoch 9237/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.3415e-06 - accuracy: 1.0000 - val_loss: 15.5446 - val_accuracy: 0.3169
Epoch 9238/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.3075e-06 - accuracy: 1.0000 - val_loss: 15.5475 - val_accuracy: 0.3168
Epoch 9239/10000
16/16 [==============================] - 1s 41ms/step - loss: 4.2738e-06 - accuracy: 1.0000 - val_loss: 15.5526 - val_accuracy: 0.3166
Epoch 9240/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.2428e-06 - accuracy: 1.0000 - val_loss: 15.5569 - val_accuracy: 0.3168
Epoch 9241/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.2087e-06 - accuracy: 1.0000 - val_loss: 15.5612 - val_accuracy: 0.3168
Epoch 9242/10000
16/16 [==============================] - 1s 41ms/step - loss: 4.1794e-06 - accuracy: 1.0000 - val_loss: 15.5647 - val_accuracy: 0.3168
Epoch 9243/10000
16/16 [==============================] - 1s 38ms/step - loss: 4.1489e-06 - accuracy: 1.0000 - val_loss: 15.5681 - val_accuracy: 0.3168
Epoch 9244/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.1100e-06 - accuracy: 1.0000 - val_loss: 15.5736 - val_accuracy: 0.3168
Epoch 9245/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.0774e-06 - accuracy: 1.0000 - val_loss: 15.5776 - val_accuracy: 0.3168
Epoch 9246/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.0450e-06 - accuracy: 1.0000 - val_loss: 15.5813 - val_accuracy: 0.3169
Epoch 9247/10000
16/16 [==============================] - 1s 41ms/step - loss: 4.0123e-06 - accuracy: 1.0000 - val_loss: 15.5866 - val_accuracy: 0.3168
Epoch 9248/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.9765e-06 - accuracy: 1.0000 - val_loss: 15.5907 - val_accuracy: 0.3169
Epoch 9249/10000
16/16 [==============================] - 1s 41ms/step - loss: 3.9448e-06 - accuracy: 1.0000 - val_loss: 15.5954 - val_accuracy: 0.3170
Epoch 9250/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.9122e-06 - accuracy: 1.0000 - val_loss: 15.5997 - val_accuracy: 0.3170
Epoch 9251/10000
16/16 [==============================] - 1s 41ms/step - loss: 3.8790e-06 - accuracy: 1.0000 - val_loss: 15.6042 - val_accuracy: 0.3170
Epoch 9252/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.8449e-06 - accuracy: 1.0000 - val_loss: 15.6076 - val_accuracy: 0.3169
Epoch 9253/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.8178e-06 - accuracy: 1.0000 - val_loss: 15.6109 - val_accuracy: 0.3170
Epoch 9254/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.7822e-06 - accuracy: 1.0000 - val_loss: 15.6163 - val_accuracy: 0.3169
Epoch 9255/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.7539e-06 - accuracy: 1.0000 - val_loss: 15.6196 - val_accuracy: 0.3170
Epoch 9256/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.7181e-06 - accuracy: 1.0000 - val_loss: 15.6243 - val_accuracy: 0.3169
Epoch 9257/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.6962e-06 - accuracy: 1.0000 - val_loss: 15.6296 - val_accuracy: 0.3170
Epoch 9258/10000
16/16 [==============================] - 1s 42ms/step - loss: 3.6656e-06 - accuracy: 1.0000 - val_loss: 15.6329 - val_accuracy: 0.3170
Epoch 9259/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.6377e-06 - accuracy: 1.0000 - val_loss: 15.6367 - val_accuracy: 0.3171
Epoch 9260/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.6020e-06 - accuracy: 1.0000 - val_loss: 15.6410 - val_accuracy: 0.3173
Epoch 9261/10000
16/16 [==============================] - 1s 42ms/step - loss: 3.5750e-06 - accuracy: 1.0000 - val_loss: 15.6454 - val_accuracy: 0.3171
Epoch 9262/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.5412e-06 - accuracy: 1.0000 - val_loss: 15.6502 - val_accuracy: 0.3171
Epoch 9263/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.5159e-06 - accuracy: 1.0000 - val_loss: 15.6547 - val_accuracy: 0.3173
Epoch 9264/10000
16/16 [==============================] - 1s 41ms/step - loss: 3.4809e-06 - accuracy: 1.0000 - val_loss: 15.6594 - val_accuracy: 0.3171
Epoch 9265/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.4558e-06 - accuracy: 1.0000 - val_loss: 15.6638 - val_accuracy: 0.3172
Epoch 9266/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.4287e-06 - accuracy: 1.0000 - val_loss: 15.6676 - val_accuracy: 0.3171
Epoch 9267/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.3979e-06 - accuracy: 1.0000 - val_loss: 15.6699 - val_accuracy: 0.3171
Epoch 9268/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.3655e-06 - accuracy: 1.0000 - val_loss: 15.6747 - val_accuracy: 0.3169
Epoch 9269/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.3402e-06 - accuracy: 1.0000 - val_loss: 15.6794 - val_accuracy: 0.3170
Epoch 9270/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.3133e-06 - accuracy: 1.0000 - val_loss: 15.6838 - val_accuracy: 0.3169
Epoch 9271/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.2868e-06 - accuracy: 1.0000 - val_loss: 15.6880 - val_accuracy: 0.3169
Epoch 9272/10000
16/16 [==============================] - 1s 43ms/step - loss: 3.2589e-06 - accuracy: 1.0000 - val_loss: 15.6919 - val_accuracy: 0.3169
Epoch 9273/10000
16/16 [==============================] - 1s 41ms/step - loss: 3.2332e-06 - accuracy: 1.0000 - val_loss: 15.6965 - val_accuracy: 0.3170
Epoch 9274/10000
16/16 [==============================] - 1s 41ms/step - loss: 3.2050e-06 - accuracy: 1.0000 - val_loss: 15.7011 - val_accuracy: 0.3169
Epoch 9275/10000
16/16 [==============================] - 1s 41ms/step - loss: 3.1783e-06 - accuracy: 1.0000 - val_loss: 15.7054 - val_accuracy: 0.3171
Epoch 9276/10000
16/16 [==============================] - 1s 41ms/step - loss: 3.1562e-06 - accuracy: 1.0000 - val_loss: 15.7084 - val_accuracy: 0.3170
Epoch 9277/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.1283e-06 - accuracy: 1.0000 - val_loss: 15.7146 - val_accuracy: 0.3174
Epoch 9278/10000
16/16 [==============================] - 1s 41ms/step - loss: 3.1013e-06 - accuracy: 1.0000 - val_loss: 15.7192 - val_accuracy: 0.3174
Epoch 9279/10000
16/16 [==============================] - 1s 41ms/step - loss: 3.0763e-06 - accuracy: 1.0000 - val_loss: 15.7228 - val_accuracy: 0.3171
Epoch 9280/10000
16/16 [==============================] - 1s 41ms/step - loss: 3.0539e-06 - accuracy: 1.0000 - val_loss: 15.7265 - val_accuracy: 0.3171
Epoch 9281/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.0279e-06 - accuracy: 1.0000 - val_loss: 15.7299 - val_accuracy: 0.3173
Epoch 9282/10000
16/16 [==============================] - 1s 42ms/step - loss: 3.0071e-06 - accuracy: 1.0000 - val_loss: 15.7344 - val_accuracy: 0.3176
Epoch 9283/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.9795e-06 - accuracy: 1.0000 - val_loss: 15.7395 - val_accuracy: 0.3176
Epoch 9284/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.9494e-06 - accuracy: 1.0000 - val_loss: 15.7433 - val_accuracy: 0.3174
Epoch 9285/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.9273e-06 - accuracy: 1.0000 - val_loss: 15.7478 - val_accuracy: 0.3173
Epoch 9286/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.9125e-06 - accuracy: 1.0000 - val_loss: 15.7524 - val_accuracy: 0.3174
Epoch 9287/10000
16/16 [==============================] - 1s 43ms/step - loss: 2.8860e-06 - accuracy: 1.0000 - val_loss: 15.7560 - val_accuracy: 0.3175
Epoch 9288/10000
16/16 [==============================] - 1s 42ms/step - loss: 2.8591e-06 - accuracy: 1.0000 - val_loss: 15.7599 - val_accuracy: 0.3175
Epoch 9289/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.8357e-06 - accuracy: 1.0000 - val_loss: 15.7650 - val_accuracy: 0.3176
Epoch 9290/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.8167e-06 - accuracy: 1.0000 - val_loss: 15.7695 - val_accuracy: 0.3175
Epoch 9291/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.7900e-06 - accuracy: 1.0000 - val_loss: 15.7732 - val_accuracy: 0.3176
Epoch 9292/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.7723e-06 - accuracy: 1.0000 - val_loss: 15.7770 - val_accuracy: 0.3175
Epoch 9293/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.7461e-06 - accuracy: 1.0000 - val_loss: 15.7808 - val_accuracy: 0.3175
Epoch 9294/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.7220e-06 - accuracy: 1.0000 - val_loss: 15.7849 - val_accuracy: 0.3177
Epoch 9295/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.7001e-06 - accuracy: 1.0000 - val_loss: 15.7897 - val_accuracy: 0.3177
Epoch 9296/10000
16/16 [==============================] - 1s 42ms/step - loss: 2.6765e-06 - accuracy: 1.0000 - val_loss: 15.7926 - val_accuracy: 0.3178
Epoch 9297/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.6591e-06 - accuracy: 1.0000 - val_loss: 15.7974 - val_accuracy: 0.3176
Epoch 9298/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.6331e-06 - accuracy: 1.0000 - val_loss: 15.8011 - val_accuracy: 0.3175
Epoch 9299/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.6126e-06 - accuracy: 1.0000 - val_loss: 15.8052 - val_accuracy: 0.3176
Epoch 9300/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.5952e-06 - accuracy: 1.0000 - val_loss: 15.8094 - val_accuracy: 0.3177
Epoch 9301/10000
16/16 [==============================] - 1s 42ms/step - loss: 2.5749e-06 - accuracy: 1.0000 - val_loss: 15.8138 - val_accuracy: 0.3177
Epoch 9302/10000
16/16 [==============================] - 1s 42ms/step - loss: 2.5561e-06 - accuracy: 1.0000 - val_loss: 15.8169 - val_accuracy: 0.3177
Epoch 9303/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.5389e-06 - accuracy: 1.0000 - val_loss: 15.8212 - val_accuracy: 0.3174
Epoch 9304/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.5158e-06 - accuracy: 1.0000 - val_loss: 15.8255 - val_accuracy: 0.3174
Epoch 9305/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.4977e-06 - accuracy: 1.0000 - val_loss: 15.8306 - val_accuracy: 0.3174
Epoch 9306/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.4738e-06 - accuracy: 1.0000 - val_loss: 15.8337 - val_accuracy: 0.3174
Epoch 9307/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.4552e-06 - accuracy: 1.0000 - val_loss: 15.8371 - val_accuracy: 0.3175
Epoch 9308/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.4376e-06 - accuracy: 1.0000 - val_loss: 15.8418 - val_accuracy: 0.3175
Epoch 9309/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.4211e-06 - accuracy: 1.0000 - val_loss: 15.8455 - val_accuracy: 0.3175
Epoch 9310/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.3982e-06 - accuracy: 1.0000 - val_loss: 15.8500 - val_accuracy: 0.3175
Epoch 9311/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.3835e-06 - accuracy: 1.0000 - val_loss: 15.8540 - val_accuracy: 0.3175
Epoch 9312/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.3646e-06 - accuracy: 1.0000 - val_loss: 15.8582 - val_accuracy: 0.3177
Epoch 9313/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.3470e-06 - accuracy: 1.0000 - val_loss: 15.8613 - val_accuracy: 0.3178
Epoch 9314/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.3279e-06 - accuracy: 1.0000 - val_loss: 15.8663 - val_accuracy: 0.3180
Epoch 9315/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.3072e-06 - accuracy: 1.0000 - val_loss: 15.8700 - val_accuracy: 0.3177
Epoch 9316/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.2886e-06 - accuracy: 1.0000 - val_loss: 15.8747 - val_accuracy: 0.3180
Epoch 9317/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.2683e-06 - accuracy: 1.0000 - val_loss: 15.8786 - val_accuracy: 0.3180
Epoch 9318/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.2518e-06 - accuracy: 1.0000 - val_loss: 15.8826 - val_accuracy: 0.3179
Epoch 9319/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.2368e-06 - accuracy: 1.0000 - val_loss: 15.8869 - val_accuracy: 0.3178
Epoch 9320/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.2178e-06 - accuracy: 1.0000 - val_loss: 15.8899 - val_accuracy: 0.3177
Epoch 9321/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.1975e-06 - accuracy: 1.0000 - val_loss: 15.8948 - val_accuracy: 0.3178
Epoch 9322/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.1827e-06 - accuracy: 1.0000 - val_loss: 15.8991 - val_accuracy: 0.3179
Epoch 9323/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.1720e-06 - accuracy: 1.0000 - val_loss: 15.9029 - val_accuracy: 0.3178
Epoch 9324/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.1515e-06 - accuracy: 1.0000 - val_loss: 15.9060 - val_accuracy: 0.3180
Epoch 9325/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.1331e-06 - accuracy: 1.0000 - val_loss: 15.9119 - val_accuracy: 0.3179
Epoch 9326/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.1157e-06 - accuracy: 1.0000 - val_loss: 15.9161 - val_accuracy: 0.3179
Epoch 9327/10000
16/16 [==============================] - 1s 42ms/step - loss: 2.1007e-06 - accuracy: 1.0000 - val_loss: 15.9193 - val_accuracy: 0.3180
Epoch 9328/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.0816e-06 - accuracy: 1.0000 - val_loss: 15.9223 - val_accuracy: 0.3180
Epoch 9329/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.0687e-06 - accuracy: 1.0000 - val_loss: 15.9279 - val_accuracy: 0.3179
Epoch 9330/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.0516e-06 - accuracy: 1.0000 - val_loss: 15.9308 - val_accuracy: 0.3180
Epoch 9331/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.0366e-06 - accuracy: 1.0000 - val_loss: 15.9357 - val_accuracy: 0.3180
Epoch 9332/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.0237e-06 - accuracy: 1.0000 - val_loss: 15.9406 - val_accuracy: 0.3179
Epoch 9333/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.0039e-06 - accuracy: 1.0000 - val_loss: 15.9442 - val_accuracy: 0.3180
Epoch 9334/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.9877e-06 - accuracy: 1.0000 - val_loss: 15.9487 - val_accuracy: 0.3178
Epoch 9335/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.9736e-06 - accuracy: 1.0000 - val_loss: 15.9520 - val_accuracy: 0.3179
Epoch 9336/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.9569e-06 - accuracy: 1.0000 - val_loss: 15.9560 - val_accuracy: 0.3179
Epoch 9337/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.9412e-06 - accuracy: 1.0000 - val_loss: 15.9602 - val_accuracy: 0.3177
Epoch 9338/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.9283e-06 - accuracy: 1.0000 - val_loss: 15.9640 - val_accuracy: 0.3177
Epoch 9339/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.9133e-06 - accuracy: 1.0000 - val_loss: 15.9683 - val_accuracy: 0.3177
Epoch 9340/10000
16/16 [==============================] - 1s 43ms/step - loss: 1.9002e-06 - accuracy: 1.0000 - val_loss: 15.9733 - val_accuracy: 0.3179
Epoch 9341/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.8830e-06 - accuracy: 1.0000 - val_loss: 15.9767 - val_accuracy: 0.3178
Epoch 9342/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.8685e-06 - accuracy: 1.0000 - val_loss: 15.9809 - val_accuracy: 0.3176
Epoch 9343/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.8608e-06 - accuracy: 1.0000 - val_loss: 15.9858 - val_accuracy: 0.3178
Epoch 9344/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.8411e-06 - accuracy: 1.0000 - val_loss: 15.9886 - val_accuracy: 0.3176
Epoch 9345/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.8248e-06 - accuracy: 1.0000 - val_loss: 15.9934 - val_accuracy: 0.3177
Epoch 9346/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.8117e-06 - accuracy: 1.0000 - val_loss: 15.9974 - val_accuracy: 0.3176
Epoch 9347/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.8003e-06 - accuracy: 1.0000 - val_loss: 16.0015 - val_accuracy: 0.3176
Epoch 9348/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.7807e-06 - accuracy: 1.0000 - val_loss: 16.0057 - val_accuracy: 0.3176
Epoch 9349/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.7691e-06 - accuracy: 1.0000 - val_loss: 16.0101 - val_accuracy: 0.3178
Epoch 9350/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.7609e-06 - accuracy: 1.0000 - val_loss: 16.0144 - val_accuracy: 0.3177
Epoch 9351/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.7469e-06 - accuracy: 1.0000 - val_loss: 16.0189 - val_accuracy: 0.3177
Epoch 9352/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.7352e-06 - accuracy: 1.0000 - val_loss: 16.0219 - val_accuracy: 0.3177
Epoch 9353/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.7185e-06 - accuracy: 1.0000 - val_loss: 16.0266 - val_accuracy: 0.3176
Epoch 9354/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.7037e-06 - accuracy: 1.0000 - val_loss: 16.0315 - val_accuracy: 0.3174
Epoch 9355/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.6956e-06 - accuracy: 1.0000 - val_loss: 16.0346 - val_accuracy: 0.3174
Epoch 9356/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.6813e-06 - accuracy: 1.0000 - val_loss: 16.0398 - val_accuracy: 0.3174
Epoch 9357/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.6651e-06 - accuracy: 1.0000 - val_loss: 16.0435 - val_accuracy: 0.3173
Epoch 9358/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.6525e-06 - accuracy: 1.0000 - val_loss: 16.0474 - val_accuracy: 0.3173
Epoch 9359/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.6386e-06 - accuracy: 1.0000 - val_loss: 16.0517 - val_accuracy: 0.3173
Epoch 9360/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.6282e-06 - accuracy: 1.0000 - val_loss: 16.0561 - val_accuracy: 0.3174
Epoch 9361/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.6150e-06 - accuracy: 1.0000 - val_loss: 16.0595 - val_accuracy: 0.3172
Epoch 9362/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.6005e-06 - accuracy: 1.0000 - val_loss: 16.0628 - val_accuracy: 0.3173
Epoch 9363/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.5888e-06 - accuracy: 1.0000 - val_loss: 16.0677 - val_accuracy: 0.3173
Epoch 9364/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.5757e-06 - accuracy: 1.0000 - val_loss: 16.0725 - val_accuracy: 0.3172
Epoch 9365/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.5657e-06 - accuracy: 1.0000 - val_loss: 16.0763 - val_accuracy: 0.3171
Epoch 9366/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.5521e-06 - accuracy: 1.0000 - val_loss: 16.0803 - val_accuracy: 0.3173
Epoch 9367/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.5407e-06 - accuracy: 1.0000 - val_loss: 16.0842 - val_accuracy: 0.3171
Epoch 9368/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.5283e-06 - accuracy: 1.0000 - val_loss: 16.0879 - val_accuracy: 0.3170
Epoch 9369/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.5182e-06 - accuracy: 1.0000 - val_loss: 16.0926 - val_accuracy: 0.3171
Epoch 9370/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.5056e-06 - accuracy: 1.0000 - val_loss: 16.0961 - val_accuracy: 0.3169
Epoch 9371/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.4958e-06 - accuracy: 1.0000 - val_loss: 16.1005 - val_accuracy: 0.3172
Epoch 9372/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.4894e-06 - accuracy: 1.0000 - val_loss: 16.1040 - val_accuracy: 0.3169
Epoch 9373/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.4732e-06 - accuracy: 1.0000 - val_loss: 16.1080 - val_accuracy: 0.3170
Epoch 9374/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.4613e-06 - accuracy: 1.0000 - val_loss: 16.1116 - val_accuracy: 0.3169
Epoch 9375/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.4510e-06 - accuracy: 1.0000 - val_loss: 16.1163 - val_accuracy: 0.3170
Epoch 9376/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.4408e-06 - accuracy: 1.0000 - val_loss: 16.1206 - val_accuracy: 0.3171
Epoch 9377/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.4279e-06 - accuracy: 1.0000 - val_loss: 16.1254 - val_accuracy: 0.3170
Epoch 9378/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.4188e-06 - accuracy: 1.0000 - val_loss: 16.1283 - val_accuracy: 0.3169
Epoch 9379/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.4059e-06 - accuracy: 1.0000 - val_loss: 16.1334 - val_accuracy: 0.3171
Epoch 9380/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.3962e-06 - accuracy: 1.0000 - val_loss: 16.1386 - val_accuracy: 0.3171
Epoch 9381/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.3864e-06 - accuracy: 1.0000 - val_loss: 16.1420 - val_accuracy: 0.3172
Epoch 9382/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.3783e-06 - accuracy: 1.0000 - val_loss: 16.1463 - val_accuracy: 0.3171
Epoch 9383/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.3645e-06 - accuracy: 1.0000 - val_loss: 16.1510 - val_accuracy: 0.3173
Epoch 9384/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.3547e-06 - accuracy: 1.0000 - val_loss: 16.1547 - val_accuracy: 0.3170
Epoch 9385/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.3437e-06 - accuracy: 1.0000 - val_loss: 16.1579 - val_accuracy: 0.3169
Epoch 9386/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.3347e-06 - accuracy: 1.0000 - val_loss: 16.1625 - val_accuracy: 0.3171
Epoch 9387/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.3239e-06 - accuracy: 1.0000 - val_loss: 16.1682 - val_accuracy: 0.3172
Epoch 9388/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.3139e-06 - accuracy: 1.0000 - val_loss: 16.1728 - val_accuracy: 0.3172
Epoch 9389/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.3025e-06 - accuracy: 1.0000 - val_loss: 16.1769 - val_accuracy: 0.3170
Epoch 9390/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.2944e-06 - accuracy: 1.0000 - val_loss: 16.1812 - val_accuracy: 0.3172
Epoch 9391/10000
16/16 [==============================] - 1s 43ms/step - loss: 1.2851e-06 - accuracy: 1.0000 - val_loss: 16.1857 - val_accuracy: 0.3170
Epoch 9392/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.2732e-06 - accuracy: 1.0000 - val_loss: 16.1900 - val_accuracy: 0.3172
Epoch 9393/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.2624e-06 - accuracy: 1.0000 - val_loss: 16.1926 - val_accuracy: 0.3170
Epoch 9394/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.2519e-06 - accuracy: 1.0000 - val_loss: 16.1970 - val_accuracy: 0.3170
Epoch 9395/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.2500e-06 - accuracy: 1.0000 - val_loss: 16.2021 - val_accuracy: 0.3170
Epoch 9396/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.2367e-06 - accuracy: 1.0000 - val_loss: 16.2058 - val_accuracy: 0.3170
Epoch 9397/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.2274e-06 - accuracy: 1.0000 - val_loss: 16.2096 - val_accuracy: 0.3172
Epoch 9398/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.2164e-06 - accuracy: 1.0000 - val_loss: 16.2145 - val_accuracy: 0.3170
Epoch 9399/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.2059e-06 - accuracy: 1.0000 - val_loss: 16.2189 - val_accuracy: 0.3173
Epoch 9400/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.1976e-06 - accuracy: 1.0000 - val_loss: 16.2229 - val_accuracy: 0.3175
Epoch 9401/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.1885e-06 - accuracy: 1.0000 - val_loss: 16.2270 - val_accuracy: 0.3173
Epoch 9402/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.1816e-06 - accuracy: 1.0000 - val_loss: 16.2301 - val_accuracy: 0.3174
Epoch 9403/10000
16/16 [==============================] - 1s 43ms/step - loss: 1.1728e-06 - accuracy: 1.0000 - val_loss: 16.2341 - val_accuracy: 0.3173
Epoch 9404/10000
16/16 [==============================] - 1s 46ms/step - loss: 1.1651e-06 - accuracy: 1.0000 - val_loss: 16.2400 - val_accuracy: 0.3174
Epoch 9405/10000
16/16 [==============================] - 1s 50ms/step - loss: 1.1497e-06 - accuracy: 1.0000 - val_loss: 16.2441 - val_accuracy: 0.3175
Epoch 9406/10000
16/16 [==============================] - 1s 50ms/step - loss: 1.1384e-06 - accuracy: 1.0000 - val_loss: 16.2499 - val_accuracy: 0.3173
Epoch 9407/10000
16/16 [==============================] - 1s 49ms/step - loss: 1.1270e-06 - accuracy: 1.0000 - val_loss: 16.2548 - val_accuracy: 0.3173
Epoch 9408/10000
16/16 [==============================] - 1s 48ms/step - loss: 1.1134e-06 - accuracy: 1.0000 - val_loss: 16.2586 - val_accuracy: 0.3174
Epoch 9409/10000
16/16 [==============================] - 1s 49ms/step - loss: 1.1032e-06 - accuracy: 1.0000 - val_loss: 16.2624 - val_accuracy: 0.3174
Epoch 9410/10000
16/16 [==============================] - 1s 47ms/step - loss: 1.0917e-06 - accuracy: 1.0000 - val_loss: 16.2685 - val_accuracy: 0.3177
Epoch 9411/10000
16/16 [==============================] - 1s 49ms/step - loss: 1.0805e-06 - accuracy: 1.0000 - val_loss: 16.2725 - val_accuracy: 0.3177
Epoch 9412/10000
16/16 [==============================] - 1s 46ms/step - loss: 1.0731e-06 - accuracy: 1.0000 - val_loss: 16.2755 - val_accuracy: 0.3173
Epoch 9413/10000
16/16 [==============================] - 1s 47ms/step - loss: 1.0612e-06 - accuracy: 1.0000 - val_loss: 16.2816 - val_accuracy: 0.3174
Epoch 9414/10000
16/16 [==============================] - 1s 49ms/step - loss: 1.0557e-06 - accuracy: 1.0000 - val_loss: 16.2861 - val_accuracy: 0.3174
Epoch 9415/10000
16/16 [==============================] - 1s 48ms/step - loss: 1.0428e-06 - accuracy: 1.0000 - val_loss: 16.2897 - val_accuracy: 0.3175
Epoch 9416/10000
16/16 [==============================] - 1s 48ms/step - loss: 1.0323e-06 - accuracy: 1.0000 - val_loss: 16.2945 - val_accuracy: 0.3174
Epoch 9417/10000
16/16 [==============================] - 1s 48ms/step - loss: 1.0252e-06 - accuracy: 1.0000 - val_loss: 16.2992 - val_accuracy: 0.3175
Epoch 9418/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0161e-06 - accuracy: 1.0000 - val_loss: 16.3026 - val_accuracy: 0.3175
Epoch 9419/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.0076e-06 - accuracy: 1.0000 - val_loss: 16.3073 - val_accuracy: 0.3176
Epoch 9420/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.9992e-07 - accuracy: 1.0000 - val_loss: 16.3105 - val_accuracy: 0.3177
Epoch 9421/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.9015e-07 - accuracy: 1.0000 - val_loss: 16.3152 - val_accuracy: 0.3177
Epoch 9422/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.8324e-07 - accuracy: 1.0000 - val_loss: 16.3197 - val_accuracy: 0.3177
Epoch 9423/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.7632e-07 - accuracy: 1.0000 - val_loss: 16.3237 - val_accuracy: 0.3178
Epoch 9424/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.7036e-07 - accuracy: 1.0000 - val_loss: 16.3281 - val_accuracy: 0.3178
Epoch 9425/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.5916e-07 - accuracy: 1.0000 - val_loss: 16.3313 - val_accuracy: 0.3179
Epoch 9426/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.5463e-07 - accuracy: 1.0000 - val_loss: 16.3353 - val_accuracy: 0.3177
Epoch 9427/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.4723e-07 - accuracy: 1.0000 - val_loss: 16.3393 - val_accuracy: 0.3178
Epoch 9428/10000
16/16 [==============================] - 1s 41ms/step - loss: 9.3937e-07 - accuracy: 1.0000 - val_loss: 16.3433 - val_accuracy: 0.3179
Epoch 9429/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.3102e-07 - accuracy: 1.0000 - val_loss: 16.3481 - val_accuracy: 0.3179
Epoch 9430/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.2292e-07 - accuracy: 1.0000 - val_loss: 16.3529 - val_accuracy: 0.3180
Epoch 9431/10000
16/16 [==============================] - 1s 41ms/step - loss: 9.1648e-07 - accuracy: 1.0000 - val_loss: 16.3558 - val_accuracy: 0.3181
Epoch 9432/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.1052e-07 - accuracy: 1.0000 - val_loss: 16.3611 - val_accuracy: 0.3181
Epoch 9433/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.0074e-07 - accuracy: 1.0000 - val_loss: 16.3636 - val_accuracy: 0.3180
Epoch 9434/10000
16/16 [==============================] - 1s 41ms/step - loss: 8.9335e-07 - accuracy: 1.0000 - val_loss: 16.3684 - val_accuracy: 0.3181
Epoch 9435/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.8763e-07 - accuracy: 1.0000 - val_loss: 16.3735 - val_accuracy: 0.3180
Epoch 9436/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.7976e-07 - accuracy: 1.0000 - val_loss: 16.3774 - val_accuracy: 0.3182
Epoch 9437/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.7452e-07 - accuracy: 1.0000 - val_loss: 16.3808 - val_accuracy: 0.3182
Epoch 9438/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.6713e-07 - accuracy: 1.0000 - val_loss: 16.3853 - val_accuracy: 0.3182
Epoch 9439/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.5926e-07 - accuracy: 1.0000 - val_loss: 16.3897 - val_accuracy: 0.3183
Epoch 9440/10000
16/16 [==============================] - 1s 42ms/step - loss: 8.5211e-07 - accuracy: 1.0000 - val_loss: 16.3930 - val_accuracy: 0.3183
Epoch 9441/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.4710e-07 - accuracy: 1.0000 - val_loss: 16.3981 - val_accuracy: 0.3185
Epoch 9442/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.3923e-07 - accuracy: 1.0000 - val_loss: 16.4010 - val_accuracy: 0.3183
Epoch 9443/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.3136e-07 - accuracy: 1.0000 - val_loss: 16.4046 - val_accuracy: 0.3185
Epoch 9444/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.2564e-07 - accuracy: 1.0000 - val_loss: 16.4093 - val_accuracy: 0.3183
Epoch 9445/10000
16/16 [==============================] - 1s 41ms/step - loss: 8.1992e-07 - accuracy: 1.0000 - val_loss: 16.4144 - val_accuracy: 0.3182
Epoch 9446/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.1158e-07 - accuracy: 1.0000 - val_loss: 16.4174 - val_accuracy: 0.3180
Epoch 9447/10000
16/16 [==============================] - 1s 41ms/step - loss: 8.0895e-07 - accuracy: 1.0000 - val_loss: 16.4231 - val_accuracy: 0.3181
Epoch 9448/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.0061e-07 - accuracy: 1.0000 - val_loss: 16.4274 - val_accuracy: 0.3181
Epoch 9449/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.9417e-07 - accuracy: 1.0000 - val_loss: 16.4312 - val_accuracy: 0.3184
Epoch 9450/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.8845e-07 - accuracy: 1.0000 - val_loss: 16.4346 - val_accuracy: 0.3180
Epoch 9451/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.8225e-07 - accuracy: 1.0000 - val_loss: 16.4394 - val_accuracy: 0.3181
Epoch 9452/10000
16/16 [==============================] - 1s 41ms/step - loss: 7.7677e-07 - accuracy: 1.0000 - val_loss: 16.4434 - val_accuracy: 0.3180
Epoch 9453/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.7247e-07 - accuracy: 1.0000 - val_loss: 16.4488 - val_accuracy: 0.3177
Epoch 9454/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.6365e-07 - accuracy: 1.0000 - val_loss: 16.4508 - val_accuracy: 0.3175
Epoch 9455/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.5722e-07 - accuracy: 1.0000 - val_loss: 16.4566 - val_accuracy: 0.3178
Epoch 9456/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.5221e-07 - accuracy: 1.0000 - val_loss: 16.4602 - val_accuracy: 0.3177
Epoch 9457/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.4434e-07 - accuracy: 1.0000 - val_loss: 16.4652 - val_accuracy: 0.3179
Epoch 9458/10000
16/16 [==============================] - 1s 41ms/step - loss: 7.3838e-07 - accuracy: 1.0000 - val_loss: 16.4695 - val_accuracy: 0.3179
Epoch 9459/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.3457e-07 - accuracy: 1.0000 - val_loss: 16.4732 - val_accuracy: 0.3178
Epoch 9460/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.2956e-07 - accuracy: 1.0000 - val_loss: 16.4772 - val_accuracy: 0.3177
Epoch 9461/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.2288e-07 - accuracy: 1.0000 - val_loss: 16.4818 - val_accuracy: 0.3178
Epoch 9462/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.1931e-07 - accuracy: 1.0000 - val_loss: 16.4864 - val_accuracy: 0.3177
Epoch 9463/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.1549e-07 - accuracy: 1.0000 - val_loss: 16.4903 - val_accuracy: 0.3177
Epoch 9464/10000
16/16 [==============================] - 1s 41ms/step - loss: 7.0476e-07 - accuracy: 1.0000 - val_loss: 16.4937 - val_accuracy: 0.3176
Epoch 9465/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.0000e-07 - accuracy: 1.0000 - val_loss: 16.4979 - val_accuracy: 0.3176
Epoch 9466/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.9666e-07 - accuracy: 1.0000 - val_loss: 16.5033 - val_accuracy: 0.3176
Epoch 9467/10000
16/16 [==============================] - 1s 41ms/step - loss: 6.8974e-07 - accuracy: 1.0000 - val_loss: 16.5079 - val_accuracy: 0.3176
Epoch 9468/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.8498e-07 - accuracy: 1.0000 - val_loss: 16.5132 - val_accuracy: 0.3177
Epoch 9469/10000
16/16 [==============================] - 1s 42ms/step - loss: 6.8045e-07 - accuracy: 1.0000 - val_loss: 16.5165 - val_accuracy: 0.3175
Epoch 9470/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.7329e-07 - accuracy: 1.0000 - val_loss: 16.5185 - val_accuracy: 0.3177
Epoch 9471/10000
16/16 [==============================] - 1s 42ms/step - loss: 6.6852e-07 - accuracy: 1.0000 - val_loss: 16.5231 - val_accuracy: 0.3177
Epoch 9472/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.6399e-07 - accuracy: 1.0000 - val_loss: 16.5278 - val_accuracy: 0.3178
Epoch 9473/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.6042e-07 - accuracy: 1.0000 - val_loss: 16.5316 - val_accuracy: 0.3178
Epoch 9474/10000
16/16 [==============================] - 1s 41ms/step - loss: 6.5493e-07 - accuracy: 1.0000 - val_loss: 16.5362 - val_accuracy: 0.3177
Epoch 9475/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.4874e-07 - accuracy: 1.0000 - val_loss: 16.5419 - val_accuracy: 0.3177
Epoch 9476/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.4397e-07 - accuracy: 1.0000 - val_loss: 16.5453 - val_accuracy: 0.3176
Epoch 9477/10000
16/16 [==============================] - 1s 42ms/step - loss: 6.3920e-07 - accuracy: 1.0000 - val_loss: 16.5501 - val_accuracy: 0.3176
Epoch 9478/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.3443e-07 - accuracy: 1.0000 - val_loss: 16.5551 - val_accuracy: 0.3179
Epoch 9479/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.2632e-07 - accuracy: 1.0000 - val_loss: 16.5592 - val_accuracy: 0.3179
Epoch 9480/10000
16/16 [==============================] - 1s 42ms/step - loss: 6.2227e-07 - accuracy: 1.0000 - val_loss: 16.5643 - val_accuracy: 0.3177
Epoch 9481/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.1703e-07 - accuracy: 1.0000 - val_loss: 16.5689 - val_accuracy: 0.3177
Epoch 9482/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.1202e-07 - accuracy: 1.0000 - val_loss: 16.5722 - val_accuracy: 0.3178
Epoch 9483/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.0725e-07 - accuracy: 1.0000 - val_loss: 16.5770 - val_accuracy: 0.3180
Epoch 9484/10000
16/16 [==============================] - 1s 41ms/step - loss: 6.0058e-07 - accuracy: 1.0000 - val_loss: 16.5816 - val_accuracy: 0.3176
Epoch 9485/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.9724e-07 - accuracy: 1.0000 - val_loss: 16.5852 - val_accuracy: 0.3179
Epoch 9486/10000
16/16 [==============================] - 1s 43ms/step - loss: 5.9104e-07 - accuracy: 1.0000 - val_loss: 16.5903 - val_accuracy: 0.3178
Epoch 9487/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.8794e-07 - accuracy: 1.0000 - val_loss: 16.5944 - val_accuracy: 0.3176
Epoch 9488/10000
16/16 [==============================] - 1s 41ms/step - loss: 5.8389e-07 - accuracy: 1.0000 - val_loss: 16.6001 - val_accuracy: 0.3176
Epoch 9489/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.7840e-07 - accuracy: 1.0000 - val_loss: 16.6045 - val_accuracy: 0.3176
Epoch 9490/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.7387e-07 - accuracy: 1.0000 - val_loss: 16.6089 - val_accuracy: 0.3178
Epoch 9491/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.6958e-07 - accuracy: 1.0000 - val_loss: 16.6130 - val_accuracy: 0.3175
Epoch 9492/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.6577e-07 - accuracy: 1.0000 - val_loss: 16.6172 - val_accuracy: 0.3176
Epoch 9493/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.5885e-07 - accuracy: 1.0000 - val_loss: 16.6212 - val_accuracy: 0.3176
Epoch 9494/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.5742e-07 - accuracy: 1.0000 - val_loss: 16.6260 - val_accuracy: 0.3177
Epoch 9495/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.5170e-07 - accuracy: 1.0000 - val_loss: 16.6299 - val_accuracy: 0.3177
Epoch 9496/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.4836e-07 - accuracy: 1.0000 - val_loss: 16.6341 - val_accuracy: 0.3173
Epoch 9497/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.4431e-07 - accuracy: 1.0000 - val_loss: 16.6399 - val_accuracy: 0.3175
Epoch 9498/10000
16/16 [==============================] - 1s 42ms/step - loss: 5.4049e-07 - accuracy: 1.0000 - val_loss: 16.6449 - val_accuracy: 0.3174
Epoch 9499/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.3501e-07 - accuracy: 1.0000 - val_loss: 16.6481 - val_accuracy: 0.3173
Epoch 9500/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.3120e-07 - accuracy: 1.0000 - val_loss: 16.6523 - val_accuracy: 0.3172
Epoch 9501/10000
16/16 [==============================] - 1s 41ms/step - loss: 5.2786e-07 - accuracy: 1.0000 - val_loss: 16.6574 - val_accuracy: 0.3174
Epoch 9502/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.2261e-07 - accuracy: 1.0000 - val_loss: 16.6615 - val_accuracy: 0.3173
Epoch 9503/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.2094e-07 - accuracy: 1.0000 - val_loss: 16.6660 - val_accuracy: 0.3176
Epoch 9504/10000
16/16 [==============================] - 1s 41ms/step - loss: 5.1689e-07 - accuracy: 1.0000 - val_loss: 16.6690 - val_accuracy: 0.3172
Epoch 9505/10000
16/16 [==============================] - 1s 42ms/step - loss: 5.1284e-07 - accuracy: 1.0000 - val_loss: 16.6743 - val_accuracy: 0.3169
Epoch 9506/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.0783e-07 - accuracy: 1.0000 - val_loss: 16.6779 - val_accuracy: 0.3170
Epoch 9507/10000
16/16 [==============================] - 1s 43ms/step - loss: 5.0235e-07 - accuracy: 1.0000 - val_loss: 16.6825 - val_accuracy: 0.3170
Epoch 9508/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.9829e-07 - accuracy: 1.0000 - val_loss: 16.6879 - val_accuracy: 0.3168
Epoch 9509/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.9543e-07 - accuracy: 1.0000 - val_loss: 16.6924 - val_accuracy: 0.3169
Epoch 9510/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.9114e-07 - accuracy: 1.0000 - val_loss: 16.6954 - val_accuracy: 0.3170
Epoch 9511/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.8637e-07 - accuracy: 1.0000 - val_loss: 16.7008 - val_accuracy: 0.3172
Epoch 9512/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.8327e-07 - accuracy: 1.0000 - val_loss: 16.7061 - val_accuracy: 0.3172
Epoch 9513/10000
16/16 [==============================] - 1s 41ms/step - loss: 4.7898e-07 - accuracy: 1.0000 - val_loss: 16.7106 - val_accuracy: 0.3170
Epoch 9514/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.7469e-07 - accuracy: 1.0000 - val_loss: 16.7151 - val_accuracy: 0.3169
Epoch 9515/10000
16/16 [==============================] - 1s 41ms/step - loss: 4.7278e-07 - accuracy: 1.0000 - val_loss: 16.7193 - val_accuracy: 0.3170
Epoch 9516/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.6778e-07 - accuracy: 1.0000 - val_loss: 16.7230 - val_accuracy: 0.3170
Epoch 9517/10000
16/16 [==============================] - 1s 41ms/step - loss: 4.6563e-07 - accuracy: 1.0000 - val_loss: 16.7281 - val_accuracy: 0.3172
Epoch 9518/10000
16/16 [==============================] - 1s 42ms/step - loss: 4.6205e-07 - accuracy: 1.0000 - val_loss: 16.7314 - val_accuracy: 0.3170
Epoch 9519/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.5657e-07 - accuracy: 1.0000 - val_loss: 16.7357 - val_accuracy: 0.3172
Epoch 9520/10000
16/16 [==============================] - 1s 42ms/step - loss: 4.5562e-07 - accuracy: 1.0000 - val_loss: 16.7418 - val_accuracy: 0.3173
Epoch 9521/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.5109e-07 - accuracy: 1.0000 - val_loss: 16.7455 - val_accuracy: 0.3174
Epoch 9522/10000
16/16 [==============================] - 1s 42ms/step - loss: 4.4870e-07 - accuracy: 1.0000 - val_loss: 16.7509 - val_accuracy: 0.3171
Epoch 9523/10000
16/16 [==============================] - 1s 41ms/step - loss: 4.4513e-07 - accuracy: 1.0000 - val_loss: 16.7532 - val_accuracy: 0.3174
Epoch 9524/10000
16/16 [==============================] - 1s 41ms/step - loss: 4.4084e-07 - accuracy: 1.0000 - val_loss: 16.7581 - val_accuracy: 0.3174
Epoch 9525/10000
16/16 [==============================] - 1s 42ms/step - loss: 4.3535e-07 - accuracy: 1.0000 - val_loss: 16.7623 - val_accuracy: 0.3174
Epoch 9526/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.3368e-07 - accuracy: 1.0000 - val_loss: 16.7665 - val_accuracy: 0.3174
Epoch 9527/10000
16/16 [==============================] - 1s 41ms/step - loss: 4.2820e-07 - accuracy: 1.0000 - val_loss: 16.7704 - val_accuracy: 0.3174
Epoch 9528/10000
16/16 [==============================] - 1s 43ms/step - loss: 4.2558e-07 - accuracy: 1.0000 - val_loss: 16.7748 - val_accuracy: 0.3172
Epoch 9529/10000
16/16 [==============================] - 1s 41ms/step - loss: 4.2152e-07 - accuracy: 1.0000 - val_loss: 16.7793 - val_accuracy: 0.3174
Epoch 9530/10000
16/16 [==============================] - 1s 42ms/step - loss: 4.1938e-07 - accuracy: 1.0000 - val_loss: 16.7840 - val_accuracy: 0.3174
Epoch 9531/10000
16/16 [==============================] - 1s 41ms/step - loss: 4.1699e-07 - accuracy: 1.0000 - val_loss: 16.7890 - val_accuracy: 0.3173
Epoch 9532/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.1366e-07 - accuracy: 1.0000 - val_loss: 16.7933 - val_accuracy: 0.3174
Epoch 9533/10000
16/16 [==============================] - 1s 42ms/step - loss: 4.1032e-07 - accuracy: 1.0000 - val_loss: 16.7978 - val_accuracy: 0.3172
Epoch 9534/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.0793e-07 - accuracy: 1.0000 - val_loss: 16.8017 - val_accuracy: 0.3172
Epoch 9535/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.0340e-07 - accuracy: 1.0000 - val_loss: 16.8066 - val_accuracy: 0.3172
Epoch 9536/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.0197e-07 - accuracy: 1.0000 - val_loss: 16.8113 - val_accuracy: 0.3173
Epoch 9537/10000
16/16 [==============================] - 1s 41ms/step - loss: 3.9959e-07 - accuracy: 1.0000 - val_loss: 16.8165 - val_accuracy: 0.3175
Epoch 9538/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.9506e-07 - accuracy: 1.0000 - val_loss: 16.8207 - val_accuracy: 0.3177
Epoch 9539/10000
16/16 [==============================] - 1s 38ms/step - loss: 3.9291e-07 - accuracy: 1.0000 - val_loss: 16.8239 - val_accuracy: 0.3175
Epoch 9540/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.8815e-07 - accuracy: 1.0000 - val_loss: 16.8285 - val_accuracy: 0.3174
Epoch 9541/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.8409e-07 - accuracy: 1.0000 - val_loss: 16.8339 - val_accuracy: 0.3173
Epoch 9542/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.8195e-07 - accuracy: 1.0000 - val_loss: 16.8384 - val_accuracy: 0.3175
Epoch 9543/10000
16/16 [==============================] - 1s 42ms/step - loss: 3.7861e-07 - accuracy: 1.0000 - val_loss: 16.8422 - val_accuracy: 0.3175
Epoch 9544/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.7646e-07 - accuracy: 1.0000 - val_loss: 16.8469 - val_accuracy: 0.3175
Epoch 9545/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.7360e-07 - accuracy: 1.0000 - val_loss: 16.8508 - val_accuracy: 0.3175
Epoch 9546/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.7122e-07 - accuracy: 1.0000 - val_loss: 16.8550 - val_accuracy: 0.3176
Epoch 9547/10000
16/16 [==============================] - 1s 41ms/step - loss: 3.6764e-07 - accuracy: 1.0000 - val_loss: 16.8597 - val_accuracy: 0.3175
Epoch 9548/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.6526e-07 - accuracy: 1.0000 - val_loss: 16.8652 - val_accuracy: 0.3177
Epoch 9549/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.6240e-07 - accuracy: 1.0000 - val_loss: 16.8686 - val_accuracy: 0.3177
Epoch 9550/10000
16/16 [==============================] - 1s 42ms/step - loss: 3.6049e-07 - accuracy: 1.0000 - val_loss: 16.8710 - val_accuracy: 0.3174
Epoch 9551/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.5715e-07 - accuracy: 1.0000 - val_loss: 16.8771 - val_accuracy: 0.3176
Epoch 9552/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.5357e-07 - accuracy: 1.0000 - val_loss: 16.8824 - val_accuracy: 0.3176
Epoch 9553/10000
16/16 [==============================] - 1s 41ms/step - loss: 3.5191e-07 - accuracy: 1.0000 - val_loss: 16.8874 - val_accuracy: 0.3175
Epoch 9554/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.4785e-07 - accuracy: 1.0000 - val_loss: 16.8916 - val_accuracy: 0.3175
Epoch 9555/10000
16/16 [==============================] - 1s 41ms/step - loss: 3.4642e-07 - accuracy: 1.0000 - val_loss: 16.8950 - val_accuracy: 0.3176
Epoch 9556/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.4499e-07 - accuracy: 1.0000 - val_loss: 16.8995 - val_accuracy: 0.3175
Epoch 9557/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.4189e-07 - accuracy: 1.0000 - val_loss: 16.9045 - val_accuracy: 0.3174
Epoch 9558/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.3808e-07 - accuracy: 1.0000 - val_loss: 16.9094 - val_accuracy: 0.3175
Epoch 9559/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.3617e-07 - accuracy: 1.0000 - val_loss: 16.9142 - val_accuracy: 0.3178
Epoch 9560/10000
16/16 [==============================] - 1s 42ms/step - loss: 3.3355e-07 - accuracy: 1.0000 - val_loss: 16.9163 - val_accuracy: 0.3176
Epoch 9561/10000
16/16 [==============================] - 1s 41ms/step - loss: 3.2997e-07 - accuracy: 1.0000 - val_loss: 16.9215 - val_accuracy: 0.3177
Epoch 9562/10000
16/16 [==============================] - 1s 42ms/step - loss: 3.2639e-07 - accuracy: 1.0000 - val_loss: 16.9256 - val_accuracy: 0.3177
Epoch 9563/10000
16/16 [==============================] - 1s 45ms/step - loss: 3.2592e-07 - accuracy: 1.0000 - val_loss: 16.9310 - val_accuracy: 0.3179
Epoch 9564/10000
16/16 [==============================] - 1s 43ms/step - loss: 3.2163e-07 - accuracy: 1.0000 - val_loss: 16.9351 - val_accuracy: 0.3179
Epoch 9565/10000
16/16 [==============================] - 1s 44ms/step - loss: 3.2091e-07 - accuracy: 1.0000 - val_loss: 16.9402 - val_accuracy: 0.3179
Epoch 9566/10000
16/16 [==============================] - 1s 44ms/step - loss: 3.1853e-07 - accuracy: 1.0000 - val_loss: 16.9443 - val_accuracy: 0.3180
Epoch 9567/10000
16/16 [==============================] - 1s 44ms/step - loss: 3.1567e-07 - accuracy: 1.0000 - val_loss: 16.9503 - val_accuracy: 0.3179
Epoch 9568/10000
16/16 [==============================] - 1s 43ms/step - loss: 3.1328e-07 - accuracy: 1.0000 - val_loss: 16.9528 - val_accuracy: 0.3175
Epoch 9569/10000
16/16 [==============================] - 1s 41ms/step - loss: 3.0899e-07 - accuracy: 1.0000 - val_loss: 16.9580 - val_accuracy: 0.3177
Epoch 9570/10000
16/16 [==============================] - 1s 41ms/step - loss: 3.0804e-07 - accuracy: 1.0000 - val_loss: 16.9618 - val_accuracy: 0.3179
Epoch 9571/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.0470e-07 - accuracy: 1.0000 - val_loss: 16.9671 - val_accuracy: 0.3176
Epoch 9572/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.0208e-07 - accuracy: 1.0000 - val_loss: 16.9709 - val_accuracy: 0.3177
Epoch 9573/10000
16/16 [==============================] - 1s 43ms/step - loss: 2.9993e-07 - accuracy: 1.0000 - val_loss: 16.9769 - val_accuracy: 0.3178
Epoch 9574/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.9612e-07 - accuracy: 1.0000 - val_loss: 16.9815 - val_accuracy: 0.3177
Epoch 9575/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.9540e-07 - accuracy: 1.0000 - val_loss: 16.9862 - val_accuracy: 0.3177
Epoch 9576/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.9373e-07 - accuracy: 1.0000 - val_loss: 16.9889 - val_accuracy: 0.3176
Epoch 9577/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.9087e-07 - accuracy: 1.0000 - val_loss: 16.9935 - val_accuracy: 0.3177
Epoch 9578/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.8944e-07 - accuracy: 1.0000 - val_loss: 16.9980 - val_accuracy: 0.3175
Epoch 9579/10000
16/16 [==============================] - 1s 43ms/step - loss: 2.8539e-07 - accuracy: 1.0000 - val_loss: 17.0034 - val_accuracy: 0.3174
Epoch 9580/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.8419e-07 - accuracy: 1.0000 - val_loss: 17.0084 - val_accuracy: 0.3176
Epoch 9581/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.8229e-07 - accuracy: 1.0000 - val_loss: 17.0129 - val_accuracy: 0.3175
Epoch 9582/10000
16/16 [==============================] - 1s 43ms/step - loss: 2.8086e-07 - accuracy: 1.0000 - val_loss: 17.0181 - val_accuracy: 0.3173
Epoch 9583/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.7823e-07 - accuracy: 1.0000 - val_loss: 17.0224 - val_accuracy: 0.3173
Epoch 9584/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.7657e-07 - accuracy: 1.0000 - val_loss: 17.0276 - val_accuracy: 0.3172
Epoch 9585/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.7418e-07 - accuracy: 1.0000 - val_loss: 17.0317 - val_accuracy: 0.3173
Epoch 9586/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.7204e-07 - accuracy: 1.0000 - val_loss: 17.0352 - val_accuracy: 0.3170
Epoch 9587/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.7156e-07 - accuracy: 1.0000 - val_loss: 17.0397 - val_accuracy: 0.3171
Epoch 9588/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.6822e-07 - accuracy: 1.0000 - val_loss: 17.0434 - val_accuracy: 0.3171
Epoch 9589/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.6631e-07 - accuracy: 1.0000 - val_loss: 17.0477 - val_accuracy: 0.3173
Epoch 9590/10000
16/16 [==============================] - 1s 38ms/step - loss: 2.6393e-07 - accuracy: 1.0000 - val_loss: 17.0536 - val_accuracy: 0.3170
Epoch 9591/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.6202e-07 - accuracy: 1.0000 - val_loss: 17.0587 - val_accuracy: 0.3172
Epoch 9592/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.5964e-07 - accuracy: 1.0000 - val_loss: 17.0632 - val_accuracy: 0.3168
Epoch 9593/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.5749e-07 - accuracy: 1.0000 - val_loss: 17.0677 - val_accuracy: 0.3168
Epoch 9594/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.5678e-07 - accuracy: 1.0000 - val_loss: 17.0725 - val_accuracy: 0.3167
Epoch 9595/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.5368e-07 - accuracy: 1.0000 - val_loss: 17.0773 - val_accuracy: 0.3167
Epoch 9596/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.5225e-07 - accuracy: 1.0000 - val_loss: 17.0802 - val_accuracy: 0.3166
Epoch 9597/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.5129e-07 - accuracy: 1.0000 - val_loss: 17.0864 - val_accuracy: 0.3169
Epoch 9598/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.4772e-07 - accuracy: 1.0000 - val_loss: 17.0913 - val_accuracy: 0.3169
Epoch 9599/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.4629e-07 - accuracy: 1.0000 - val_loss: 17.0947 - val_accuracy: 0.3168
Epoch 9600/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.4605e-07 - accuracy: 1.0000 - val_loss: 17.0991 - val_accuracy: 0.3167
Epoch 9601/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.4390e-07 - accuracy: 1.0000 - val_loss: 17.1052 - val_accuracy: 0.3168
Epoch 9602/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.4009e-07 - accuracy: 1.0000 - val_loss: 17.1102 - val_accuracy: 0.3168
Epoch 9603/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.4009e-07 - accuracy: 1.0000 - val_loss: 17.1149 - val_accuracy: 0.3169
Epoch 9604/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.3699e-07 - accuracy: 1.0000 - val_loss: 17.1191 - val_accuracy: 0.3168
Epoch 9605/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.3437e-07 - accuracy: 1.0000 - val_loss: 17.1224 - val_accuracy: 0.3167
Epoch 9606/10000
16/16 [==============================] - 1s 42ms/step - loss: 2.3341e-07 - accuracy: 1.0000 - val_loss: 17.1279 - val_accuracy: 0.3168
Epoch 9607/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.3198e-07 - accuracy: 1.0000 - val_loss: 17.1343 - val_accuracy: 0.3169
Epoch 9608/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.3031e-07 - accuracy: 1.0000 - val_loss: 17.1384 - val_accuracy: 0.3168
Epoch 9609/10000
16/16 [==============================] - 1s 42ms/step - loss: 2.2840e-07 - accuracy: 1.0000 - val_loss: 17.1426 - val_accuracy: 0.3170
Epoch 9610/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.2721e-07 - accuracy: 1.0000 - val_loss: 17.1481 - val_accuracy: 0.3170
Epoch 9611/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.2387e-07 - accuracy: 1.0000 - val_loss: 17.1516 - val_accuracy: 0.3170
Epoch 9612/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.2268e-07 - accuracy: 1.0000 - val_loss: 17.1566 - val_accuracy: 0.3170
Epoch 9613/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.2078e-07 - accuracy: 1.0000 - val_loss: 17.1615 - val_accuracy: 0.3171
Epoch 9614/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.2078e-07 - accuracy: 1.0000 - val_loss: 17.1661 - val_accuracy: 0.3170
Epoch 9615/10000
16/16 [==============================] - 1s 42ms/step - loss: 2.1744e-07 - accuracy: 1.0000 - val_loss: 17.1719 - val_accuracy: 0.3171
Epoch 9616/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.1553e-07 - accuracy: 1.0000 - val_loss: 17.1749 - val_accuracy: 0.3169
Epoch 9617/10000
16/16 [==============================] - 1s 38ms/step - loss: 2.1529e-07 - accuracy: 1.0000 - val_loss: 17.1791 - val_accuracy: 0.3169
Epoch 9618/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.1267e-07 - accuracy: 1.0000 - val_loss: 17.1832 - val_accuracy: 0.3170
Epoch 9619/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.1005e-07 - accuracy: 1.0000 - val_loss: 17.1876 - val_accuracy: 0.3171
Epoch 9620/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.0838e-07 - accuracy: 1.0000 - val_loss: 17.1937 - val_accuracy: 0.3168
Epoch 9621/10000
16/16 [==============================] - 1s 42ms/step - loss: 2.0719e-07 - accuracy: 1.0000 - val_loss: 17.1987 - val_accuracy: 0.3169
Epoch 9622/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.0528e-07 - accuracy: 1.0000 - val_loss: 17.2031 - val_accuracy: 0.3168
Epoch 9623/10000
16/16 [==============================] - 1s 42ms/step - loss: 2.0504e-07 - accuracy: 1.0000 - val_loss: 17.2065 - val_accuracy: 0.3167
Epoch 9624/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.0170e-07 - accuracy: 1.0000 - val_loss: 17.2115 - val_accuracy: 0.3165
Epoch 9625/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.9932e-07 - accuracy: 1.0000 - val_loss: 17.2166 - val_accuracy: 0.3165
Epoch 9626/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.9884e-07 - accuracy: 1.0000 - val_loss: 17.2218 - val_accuracy: 0.3169
Epoch 9627/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.9598e-07 - accuracy: 1.0000 - val_loss: 17.2265 - val_accuracy: 0.3167
Epoch 9628/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.9526e-07 - accuracy: 1.0000 - val_loss: 17.2316 - val_accuracy: 0.3166
Epoch 9629/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.9264e-07 - accuracy: 1.0000 - val_loss: 17.2361 - val_accuracy: 0.3165
Epoch 9630/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.9073e-07 - accuracy: 1.0000 - val_loss: 17.2397 - val_accuracy: 0.3165
Epoch 9631/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.8907e-07 - accuracy: 1.0000 - val_loss: 17.2446 - val_accuracy: 0.3165
Epoch 9632/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.8883e-07 - accuracy: 1.0000 - val_loss: 17.2498 - val_accuracy: 0.3165
Epoch 9633/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.8907e-07 - accuracy: 1.0000 - val_loss: 17.2556 - val_accuracy: 0.3165
Epoch 9634/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.8692e-07 - accuracy: 1.0000 - val_loss: 17.2594 - val_accuracy: 0.3167
Epoch 9635/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.8525e-07 - accuracy: 1.0000 - val_loss: 17.2637 - val_accuracy: 0.3166
Epoch 9636/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.8525e-07 - accuracy: 1.0000 - val_loss: 17.2683 - val_accuracy: 0.3168
Epoch 9637/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.8239e-07 - accuracy: 1.0000 - val_loss: 17.2745 - val_accuracy: 0.3168
Epoch 9638/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.8096e-07 - accuracy: 1.0000 - val_loss: 17.2793 - val_accuracy: 0.3168
Epoch 9639/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.8024e-07 - accuracy: 1.0000 - val_loss: 17.2809 - val_accuracy: 0.3168
Epoch 9640/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.7881e-07 - accuracy: 1.0000 - val_loss: 17.2854 - val_accuracy: 0.3168
Epoch 9641/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.7667e-07 - accuracy: 1.0000 - val_loss: 17.2913 - val_accuracy: 0.3168
Epoch 9642/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.7405e-07 - accuracy: 1.0000 - val_loss: 17.2964 - val_accuracy: 0.3166
Epoch 9643/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.7357e-07 - accuracy: 1.0000 - val_loss: 17.3001 - val_accuracy: 0.3164
Epoch 9644/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.7166e-07 - accuracy: 1.0000 - val_loss: 17.3047 - val_accuracy: 0.3166
Epoch 9645/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.7095e-07 - accuracy: 1.0000 - val_loss: 17.3113 - val_accuracy: 0.3166
Epoch 9646/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.6999e-07 - accuracy: 1.0000 - val_loss: 17.3166 - val_accuracy: 0.3168
Epoch 9647/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.6832e-07 - accuracy: 1.0000 - val_loss: 17.3203 - val_accuracy: 0.3166
Epoch 9648/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.6737e-07 - accuracy: 1.0000 - val_loss: 17.3265 - val_accuracy: 0.3164
Epoch 9649/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.6427e-07 - accuracy: 1.0000 - val_loss: 17.3309 - val_accuracy: 0.3163
Epoch 9650/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.6236e-07 - accuracy: 1.0000 - val_loss: 17.3378 - val_accuracy: 0.3164
Epoch 9651/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.6093e-07 - accuracy: 1.0000 - val_loss: 17.3406 - val_accuracy: 0.3165
Epoch 9652/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.6093e-07 - accuracy: 1.0000 - val_loss: 17.3454 - val_accuracy: 0.3162
Epoch 9653/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.5879e-07 - accuracy: 1.0000 - val_loss: 17.3493 - val_accuracy: 0.3163
Epoch 9654/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.5736e-07 - accuracy: 1.0000 - val_loss: 17.3564 - val_accuracy: 0.3163
Epoch 9655/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.5616e-07 - accuracy: 1.0000 - val_loss: 17.3613 - val_accuracy: 0.3164
Epoch 9656/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.5473e-07 - accuracy: 1.0000 - val_loss: 17.3657 - val_accuracy: 0.3163
Epoch 9657/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.5402e-07 - accuracy: 1.0000 - val_loss: 17.3692 - val_accuracy: 0.3165
Epoch 9658/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.5259e-07 - accuracy: 1.0000 - val_loss: 17.3762 - val_accuracy: 0.3166
Epoch 9659/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.5187e-07 - accuracy: 1.0000 - val_loss: 17.3801 - val_accuracy: 0.3163
Epoch 9660/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.5068e-07 - accuracy: 1.0000 - val_loss: 17.3841 - val_accuracy: 0.3164
Epoch 9661/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.5044e-07 - accuracy: 1.0000 - val_loss: 17.3905 - val_accuracy: 0.3163
Epoch 9662/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.4782e-07 - accuracy: 1.0000 - val_loss: 17.3946 - val_accuracy: 0.3161
Epoch 9663/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.4734e-07 - accuracy: 1.0000 - val_loss: 17.3998 - val_accuracy: 0.3161
Epoch 9664/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.4639e-07 - accuracy: 1.0000 - val_loss: 17.4050 - val_accuracy: 0.3163
Epoch 9665/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.4496e-07 - accuracy: 1.0000 - val_loss: 17.4099 - val_accuracy: 0.3164
Epoch 9666/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.4377e-07 - accuracy: 1.0000 - val_loss: 17.4148 - val_accuracy: 0.3160
Epoch 9667/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.4257e-07 - accuracy: 1.0000 - val_loss: 17.4188 - val_accuracy: 0.3162
Epoch 9668/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.4234e-07 - accuracy: 1.0000 - val_loss: 17.4237 - val_accuracy: 0.3163
Epoch 9669/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.3995e-07 - accuracy: 1.0000 - val_loss: 17.4280 - val_accuracy: 0.3160
Epoch 9670/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.3971e-07 - accuracy: 1.0000 - val_loss: 17.4344 - val_accuracy: 0.3164
Epoch 9671/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.3876e-07 - accuracy: 1.0000 - val_loss: 17.4379 - val_accuracy: 0.3164
Epoch 9672/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.3590e-07 - accuracy: 1.0000 - val_loss: 17.4422 - val_accuracy: 0.3164
Epoch 9673/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.3471e-07 - accuracy: 1.0000 - val_loss: 17.4486 - val_accuracy: 0.3163
Epoch 9674/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.3375e-07 - accuracy: 1.0000 - val_loss: 17.4533 - val_accuracy: 0.3163
Epoch 9675/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.3161e-07 - accuracy: 1.0000 - val_loss: 17.4584 - val_accuracy: 0.3161
Epoch 9676/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.3065e-07 - accuracy: 1.0000 - val_loss: 17.4644 - val_accuracy: 0.3162
Epoch 9677/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.3041e-07 - accuracy: 1.0000 - val_loss: 17.4699 - val_accuracy: 0.3165
Epoch 9678/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.2779e-07 - accuracy: 1.0000 - val_loss: 17.4743 - val_accuracy: 0.3162
Epoch 9679/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.2708e-07 - accuracy: 1.0000 - val_loss: 17.4802 - val_accuracy: 0.3163
Epoch 9680/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.2517e-07 - accuracy: 1.0000 - val_loss: 17.4867 - val_accuracy: 0.3164
Epoch 9681/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.2422e-07 - accuracy: 1.0000 - val_loss: 17.4907 - val_accuracy: 0.3163
Epoch 9682/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.2231e-07 - accuracy: 1.0000 - val_loss: 17.4947 - val_accuracy: 0.3162
Epoch 9683/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.2112e-07 - accuracy: 1.0000 - val_loss: 17.5003 - val_accuracy: 0.3161
Epoch 9684/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.2064e-07 - accuracy: 1.0000 - val_loss: 17.5066 - val_accuracy: 0.3164
Epoch 9685/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.2016e-07 - accuracy: 1.0000 - val_loss: 17.5135 - val_accuracy: 0.3163
Epoch 9686/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.1826e-07 - accuracy: 1.0000 - val_loss: 17.5171 - val_accuracy: 0.3161
Epoch 9687/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.1778e-07 - accuracy: 1.0000 - val_loss: 17.5221 - val_accuracy: 0.3161
Epoch 9688/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.1754e-07 - accuracy: 1.0000 - val_loss: 17.5285 - val_accuracy: 0.3161
Epoch 9689/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.1611e-07 - accuracy: 1.0000 - val_loss: 17.5346 - val_accuracy: 0.3160
Epoch 9690/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.1492e-07 - accuracy: 1.0000 - val_loss: 17.5386 - val_accuracy: 0.3161
Epoch 9691/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.1373e-07 - accuracy: 1.0000 - val_loss: 17.5435 - val_accuracy: 0.3162
Epoch 9692/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.1301e-07 - accuracy: 1.0000 - val_loss: 17.5499 - val_accuracy: 0.3164
Epoch 9693/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.1253e-07 - accuracy: 1.0000 - val_loss: 17.5557 - val_accuracy: 0.3164
Epoch 9694/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.1110e-07 - accuracy: 1.0000 - val_loss: 17.5607 - val_accuracy: 0.3163
Epoch 9695/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.1110e-07 - accuracy: 1.0000 - val_loss: 17.5670 - val_accuracy: 0.3163
Epoch 9696/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.0991e-07 - accuracy: 1.0000 - val_loss: 17.5715 - val_accuracy: 0.3165
Epoch 9697/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.0943e-07 - accuracy: 1.0000 - val_loss: 17.5756 - val_accuracy: 0.3167
Epoch 9698/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0824e-07 - accuracy: 1.0000 - val_loss: 17.5812 - val_accuracy: 0.3166
Epoch 9699/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.0729e-07 - accuracy: 1.0000 - val_loss: 17.5874 - val_accuracy: 0.3164
Epoch 9700/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.0610e-07 - accuracy: 1.0000 - val_loss: 17.5933 - val_accuracy: 0.3166
Epoch 9701/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.0395e-07 - accuracy: 1.0000 - val_loss: 17.5992 - val_accuracy: 0.3167
Epoch 9702/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0347e-07 - accuracy: 1.0000 - val_loss: 17.6034 - val_accuracy: 0.3167
Epoch 9703/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.0228e-07 - accuracy: 1.0000 - val_loss: 17.6083 - val_accuracy: 0.3167
Epoch 9704/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0324e-07 - accuracy: 1.0000 - val_loss: 17.6145 - val_accuracy: 0.3167
Epoch 9705/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.0061e-07 - accuracy: 1.0000 - val_loss: 17.6206 - val_accuracy: 0.3168
Epoch 9706/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0014e-07 - accuracy: 1.0000 - val_loss: 17.6257 - val_accuracy: 0.3166
Epoch 9707/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.9421e-08 - accuracy: 1.0000 - val_loss: 17.6304 - val_accuracy: 0.3168
Epoch 9708/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.8705e-08 - accuracy: 1.0000 - val_loss: 17.6366 - val_accuracy: 0.3167
Epoch 9709/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.7752e-08 - accuracy: 1.0000 - val_loss: 17.6405 - val_accuracy: 0.3168
Epoch 9710/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.7513e-08 - accuracy: 1.0000 - val_loss: 17.6468 - val_accuracy: 0.3169
Epoch 9711/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.5606e-08 - accuracy: 1.0000 - val_loss: 17.6510 - val_accuracy: 0.3174
Epoch 9712/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.4891e-08 - accuracy: 1.0000 - val_loss: 17.6559 - val_accuracy: 0.3169
Epoch 9713/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.4414e-08 - accuracy: 1.0000 - val_loss: 17.6623 - val_accuracy: 0.3168
Epoch 9714/10000
16/16 [==============================] - 1s 42ms/step - loss: 9.2983e-08 - accuracy: 1.0000 - val_loss: 17.6688 - val_accuracy: 0.3171
Epoch 9715/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.3222e-08 - accuracy: 1.0000 - val_loss: 17.6747 - val_accuracy: 0.3172
Epoch 9716/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.2268e-08 - accuracy: 1.0000 - val_loss: 17.6800 - val_accuracy: 0.3171
Epoch 9717/10000
16/16 [==============================] - 1s 41ms/step - loss: 9.2506e-08 - accuracy: 1.0000 - val_loss: 17.6843 - val_accuracy: 0.3173
Epoch 9718/10000
16/16 [==============================] - 1s 38ms/step - loss: 9.1314e-08 - accuracy: 1.0000 - val_loss: 17.6889 - val_accuracy: 0.3175
Epoch 9719/10000
16/16 [==============================] - 1s 42ms/step - loss: 9.0122e-08 - accuracy: 1.0000 - val_loss: 17.6925 - val_accuracy: 0.3170
Epoch 9720/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.7976e-08 - accuracy: 1.0000 - val_loss: 17.6980 - val_accuracy: 0.3172
Epoch 9721/10000
16/16 [==============================] - 1s 42ms/step - loss: 8.8215e-08 - accuracy: 1.0000 - val_loss: 17.7048 - val_accuracy: 0.3173
Epoch 9722/10000
16/16 [==============================] - 1s 41ms/step - loss: 8.7738e-08 - accuracy: 1.0000 - val_loss: 17.7123 - val_accuracy: 0.3171
Epoch 9723/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.6784e-08 - accuracy: 1.0000 - val_loss: 17.7165 - val_accuracy: 0.3172
Epoch 9724/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.6308e-08 - accuracy: 1.0000 - val_loss: 17.7238 - val_accuracy: 0.3171
Epoch 9725/10000
16/16 [==============================] - 1s 41ms/step - loss: 8.5592e-08 - accuracy: 1.0000 - val_loss: 17.7288 - val_accuracy: 0.3170
Epoch 9726/10000
16/16 [==============================] - 1s 41ms/step - loss: 8.4639e-08 - accuracy: 1.0000 - val_loss: 17.7349 - val_accuracy: 0.3172
Epoch 9727/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.4400e-08 - accuracy: 1.0000 - val_loss: 17.7378 - val_accuracy: 0.3171
Epoch 9728/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.3208e-08 - accuracy: 1.0000 - val_loss: 17.7447 - val_accuracy: 0.3170
Epoch 9729/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.1778e-08 - accuracy: 1.0000 - val_loss: 17.7504 - val_accuracy: 0.3172
Epoch 9730/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.2254e-08 - accuracy: 1.0000 - val_loss: 17.7554 - val_accuracy: 0.3171
Epoch 9731/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.0824e-08 - accuracy: 1.0000 - val_loss: 17.7641 - val_accuracy: 0.3167
Epoch 9732/10000
16/16 [==============================] - 1s 42ms/step - loss: 8.0585e-08 - accuracy: 1.0000 - val_loss: 17.7690 - val_accuracy: 0.3171
Epoch 9733/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.0347e-08 - accuracy: 1.0000 - val_loss: 17.7745 - val_accuracy: 0.3172
Epoch 9734/10000
16/16 [==============================] - 1s 41ms/step - loss: 7.9155e-08 - accuracy: 1.0000 - val_loss: 17.7804 - val_accuracy: 0.3172
Epoch 9735/10000
16/16 [==============================] - 1s 41ms/step - loss: 7.8917e-08 - accuracy: 1.0000 - val_loss: 17.7875 - val_accuracy: 0.3170
Epoch 9736/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.8201e-08 - accuracy: 1.0000 - val_loss: 17.7938 - val_accuracy: 0.3168
Epoch 9737/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.6771e-08 - accuracy: 1.0000 - val_loss: 17.7988 - val_accuracy: 0.3168
Epoch 9738/10000
16/16 [==============================] - 1s 41ms/step - loss: 7.7248e-08 - accuracy: 1.0000 - val_loss: 17.8062 - val_accuracy: 0.3170
Epoch 9739/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.7009e-08 - accuracy: 1.0000 - val_loss: 17.8114 - val_accuracy: 0.3168
Epoch 9740/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.7009e-08 - accuracy: 1.0000 - val_loss: 17.8172 - val_accuracy: 0.3174
Epoch 9741/10000
16/16 [==============================] - 1s 41ms/step - loss: 7.6532e-08 - accuracy: 1.0000 - val_loss: 17.8223 - val_accuracy: 0.3172
Epoch 9742/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.5340e-08 - accuracy: 1.0000 - val_loss: 17.8255 - val_accuracy: 0.3172
Epoch 9743/10000
16/16 [==============================] - 1s 41ms/step - loss: 7.4148e-08 - accuracy: 1.0000 - val_loss: 17.8333 - val_accuracy: 0.3173
Epoch 9744/10000
16/16 [==============================] - 1s 41ms/step - loss: 7.4387e-08 - accuracy: 1.0000 - val_loss: 17.8396 - val_accuracy: 0.3176
Epoch 9745/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.2718e-08 - accuracy: 1.0000 - val_loss: 17.8447 - val_accuracy: 0.3174
Epoch 9746/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.2479e-08 - accuracy: 1.0000 - val_loss: 17.8500 - val_accuracy: 0.3172
Epoch 9747/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.1287e-08 - accuracy: 1.0000 - val_loss: 17.8563 - val_accuracy: 0.3174
Epoch 9748/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.9857e-08 - accuracy: 1.0000 - val_loss: 17.8636 - val_accuracy: 0.3175
Epoch 9749/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.0333e-08 - accuracy: 1.0000 - val_loss: 17.8704 - val_accuracy: 0.3175
Epoch 9750/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.9380e-08 - accuracy: 1.0000 - val_loss: 17.8759 - val_accuracy: 0.3176
Epoch 9751/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.8426e-08 - accuracy: 1.0000 - val_loss: 17.8815 - val_accuracy: 0.3176
Epoch 9752/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.8188e-08 - accuracy: 1.0000 - val_loss: 17.8883 - val_accuracy: 0.3173
Epoch 9753/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.8426e-08 - accuracy: 1.0000 - val_loss: 17.8948 - val_accuracy: 0.3174
Epoch 9754/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.7711e-08 - accuracy: 1.0000 - val_loss: 17.8996 - val_accuracy: 0.3174
Epoch 9755/10000
16/16 [==============================] - 1s 41ms/step - loss: 6.6519e-08 - accuracy: 1.0000 - val_loss: 17.9054 - val_accuracy: 0.3175
Epoch 9756/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.6280e-08 - accuracy: 1.0000 - val_loss: 17.9129 - val_accuracy: 0.3174
Epoch 9757/10000
16/16 [==============================] - 1s 41ms/step - loss: 6.5804e-08 - accuracy: 1.0000 - val_loss: 17.9187 - val_accuracy: 0.3174
Epoch 9758/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.5327e-08 - accuracy: 1.0000 - val_loss: 17.9253 - val_accuracy: 0.3177
Epoch 9759/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.5327e-08 - accuracy: 1.0000 - val_loss: 17.9316 - val_accuracy: 0.3174
Epoch 9760/10000
16/16 [==============================] - 1s 42ms/step - loss: 6.4373e-08 - accuracy: 1.0000 - val_loss: 17.9371 - val_accuracy: 0.3175
Epoch 9761/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.5088e-08 - accuracy: 1.0000 - val_loss: 17.9415 - val_accuracy: 0.3177
Epoch 9762/10000
16/16 [==============================] - 1s 41ms/step - loss: 6.4135e-08 - accuracy: 1.0000 - val_loss: 17.9480 - val_accuracy: 0.3177
Epoch 9763/10000
16/16 [==============================] - 1s 41ms/step - loss: 6.3419e-08 - accuracy: 1.0000 - val_loss: 17.9540 - val_accuracy: 0.3175
Epoch 9764/10000
16/16 [==============================] - 1s 41ms/step - loss: 6.2942e-08 - accuracy: 1.0000 - val_loss: 17.9614 - val_accuracy: 0.3178
Epoch 9765/10000
16/16 [==============================] - 1s 41ms/step - loss: 6.2942e-08 - accuracy: 1.0000 - val_loss: 17.9655 - val_accuracy: 0.3177
Epoch 9766/10000
16/16 [==============================] - 1s 43ms/step - loss: 6.2227e-08 - accuracy: 1.0000 - val_loss: 17.9720 - val_accuracy: 0.3178
Epoch 9767/10000
16/16 [==============================] - 1s 42ms/step - loss: 6.1989e-08 - accuracy: 1.0000 - val_loss: 17.9773 - val_accuracy: 0.3177
Epoch 9768/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.1989e-08 - accuracy: 1.0000 - val_loss: 17.9810 - val_accuracy: 0.3179
Epoch 9769/10000
16/16 [==============================] - 1s 43ms/step - loss: 6.1274e-08 - accuracy: 1.0000 - val_loss: 17.9861 - val_accuracy: 0.3179
Epoch 9770/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.0797e-08 - accuracy: 1.0000 - val_loss: 17.9913 - val_accuracy: 0.3175
Epoch 9771/10000
16/16 [==============================] - 1s 42ms/step - loss: 5.8889e-08 - accuracy: 1.0000 - val_loss: 17.9966 - val_accuracy: 0.3177
Epoch 9772/10000
16/16 [==============================] - 1s 42ms/step - loss: 5.7936e-08 - accuracy: 1.0000 - val_loss: 18.0016 - val_accuracy: 0.3179
Epoch 9773/10000
16/16 [==============================] - 1s 42ms/step - loss: 5.6744e-08 - accuracy: 1.0000 - val_loss: 18.0084 - val_accuracy: 0.3177
Epoch 9774/10000
16/16 [==============================] - 1s 41ms/step - loss: 5.6982e-08 - accuracy: 1.0000 - val_loss: 18.0148 - val_accuracy: 0.3173
Epoch 9775/10000
16/16 [==============================] - 1s 43ms/step - loss: 5.6505e-08 - accuracy: 1.0000 - val_loss: 18.0198 - val_accuracy: 0.3175
Epoch 9776/10000
16/16 [==============================] - 1s 42ms/step - loss: 5.6505e-08 - accuracy: 1.0000 - val_loss: 18.0271 - val_accuracy: 0.3176
Epoch 9777/10000
16/16 [==============================] - 1s 41ms/step - loss: 5.6028e-08 - accuracy: 1.0000 - val_loss: 18.0320 - val_accuracy: 0.3174
Epoch 9778/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.4598e-08 - accuracy: 1.0000 - val_loss: 18.0381 - val_accuracy: 0.3173
Epoch 9779/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.3644e-08 - accuracy: 1.0000 - val_loss: 18.0448 - val_accuracy: 0.3173
Epoch 9780/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.3883e-08 - accuracy: 1.0000 - val_loss: 18.0514 - val_accuracy: 0.3173
Epoch 9781/10000
16/16 [==============================] - 1s 41ms/step - loss: 5.3406e-08 - accuracy: 1.0000 - val_loss: 18.0576 - val_accuracy: 0.3173
Epoch 9782/10000
16/16 [==============================] - 1s 41ms/step - loss: 5.3167e-08 - accuracy: 1.0000 - val_loss: 18.0647 - val_accuracy: 0.3173
Epoch 9783/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.1737e-08 - accuracy: 1.0000 - val_loss: 18.0707 - val_accuracy: 0.3174
Epoch 9784/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.2214e-08 - accuracy: 1.0000 - val_loss: 18.0789 - val_accuracy: 0.3174
Epoch 9785/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.1737e-08 - accuracy: 1.0000 - val_loss: 18.0853 - val_accuracy: 0.3173
Epoch 9786/10000
16/16 [==============================] - 1s 42ms/step - loss: 5.0068e-08 - accuracy: 1.0000 - val_loss: 18.0925 - val_accuracy: 0.3175
Epoch 9787/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.9591e-08 - accuracy: 1.0000 - val_loss: 18.0992 - val_accuracy: 0.3178
Epoch 9788/10000
16/16 [==============================] - 1s 41ms/step - loss: 4.8876e-08 - accuracy: 1.0000 - val_loss: 18.1057 - val_accuracy: 0.3174
Epoch 9789/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.8161e-08 - accuracy: 1.0000 - val_loss: 18.1131 - val_accuracy: 0.3175
Epoch 9790/10000
16/16 [==============================] - 1s 41ms/step - loss: 4.8399e-08 - accuracy: 1.0000 - val_loss: 18.1200 - val_accuracy: 0.3175
Epoch 9791/10000
16/16 [==============================] - 1s 41ms/step - loss: 4.6730e-08 - accuracy: 1.0000 - val_loss: 18.1270 - val_accuracy: 0.3173
Epoch 9792/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.6492e-08 - accuracy: 1.0000 - val_loss: 18.1330 - val_accuracy: 0.3176
Epoch 9793/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.6015e-08 - accuracy: 1.0000 - val_loss: 18.1412 - val_accuracy: 0.3176
Epoch 9794/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.5061e-08 - accuracy: 1.0000 - val_loss: 18.1479 - val_accuracy: 0.3175
Epoch 9795/10000
16/16 [==============================] - 1s 41ms/step - loss: 4.4584e-08 - accuracy: 1.0000 - val_loss: 18.1563 - val_accuracy: 0.3175
Epoch 9796/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.4823e-08 - accuracy: 1.0000 - val_loss: 18.1629 - val_accuracy: 0.3175
Epoch 9797/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.3869e-08 - accuracy: 1.0000 - val_loss: 18.1713 - val_accuracy: 0.3174
Epoch 9798/10000
16/16 [==============================] - 1s 41ms/step - loss: 4.4346e-08 - accuracy: 1.0000 - val_loss: 18.1775 - val_accuracy: 0.3178
Epoch 9799/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.4107e-08 - accuracy: 1.0000 - val_loss: 18.1838 - val_accuracy: 0.3172
Epoch 9800/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.4107e-08 - accuracy: 1.0000 - val_loss: 18.1907 - val_accuracy: 0.3170
Epoch 9801/10000
16/16 [==============================] - 1s 41ms/step - loss: 4.3154e-08 - accuracy: 1.0000 - val_loss: 18.1966 - val_accuracy: 0.3173
Epoch 9802/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.2915e-08 - accuracy: 1.0000 - val_loss: 18.2044 - val_accuracy: 0.3172
Epoch 9803/10000
16/16 [==============================] - 1s 41ms/step - loss: 4.2200e-08 - accuracy: 1.0000 - val_loss: 18.2121 - val_accuracy: 0.3169
Epoch 9804/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.1723e-08 - accuracy: 1.0000 - val_loss: 18.2189 - val_accuracy: 0.3168
Epoch 9805/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.2200e-08 - accuracy: 1.0000 - val_loss: 18.2252 - val_accuracy: 0.3168
Epoch 9806/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.0770e-08 - accuracy: 1.0000 - val_loss: 18.2315 - val_accuracy: 0.3169
Epoch 9807/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.0770e-08 - accuracy: 1.0000 - val_loss: 18.2373 - val_accuracy: 0.3169
Epoch 9808/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.0531e-08 - accuracy: 1.0000 - val_loss: 18.2480 - val_accuracy: 0.3168
Epoch 9809/10000
16/16 [==============================] - 1s 42ms/step - loss: 3.9816e-08 - accuracy: 1.0000 - val_loss: 18.2523 - val_accuracy: 0.3168
Epoch 9810/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.9101e-08 - accuracy: 1.0000 - val_loss: 18.2607 - val_accuracy: 0.3166
Epoch 9811/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.8862e-08 - accuracy: 1.0000 - val_loss: 18.2694 - val_accuracy: 0.3167
Epoch 9812/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.9339e-08 - accuracy: 1.0000 - val_loss: 18.2753 - val_accuracy: 0.3163
Epoch 9813/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.8862e-08 - accuracy: 1.0000 - val_loss: 18.2813 - val_accuracy: 0.3165
Epoch 9814/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.8147e-08 - accuracy: 1.0000 - val_loss: 18.2910 - val_accuracy: 0.3166
Epoch 9815/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.7909e-08 - accuracy: 1.0000 - val_loss: 18.2974 - val_accuracy: 0.3166
Epoch 9816/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.7909e-08 - accuracy: 1.0000 - val_loss: 18.3038 - val_accuracy: 0.3165
Epoch 9817/10000
16/16 [==============================] - 1s 41ms/step - loss: 3.6240e-08 - accuracy: 1.0000 - val_loss: 18.3134 - val_accuracy: 0.3164
Epoch 9818/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.7909e-08 - accuracy: 1.0000 - val_loss: 18.3194 - val_accuracy: 0.3161
Epoch 9819/10000
16/16 [==============================] - 1s 42ms/step - loss: 3.6716e-08 - accuracy: 1.0000 - val_loss: 18.3284 - val_accuracy: 0.3160
Epoch 9820/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.6240e-08 - accuracy: 1.0000 - val_loss: 18.3365 - val_accuracy: 0.3158
Epoch 9821/10000
16/16 [==============================] - 1s 42ms/step - loss: 3.6240e-08 - accuracy: 1.0000 - val_loss: 18.3423 - val_accuracy: 0.3158
Epoch 9822/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.6955e-08 - accuracy: 1.0000 - val_loss: 18.3471 - val_accuracy: 0.3159
Epoch 9823/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.5286e-08 - accuracy: 1.0000 - val_loss: 18.3567 - val_accuracy: 0.3158
Epoch 9824/10000
16/16 [==============================] - 1s 41ms/step - loss: 3.4809e-08 - accuracy: 1.0000 - val_loss: 18.3646 - val_accuracy: 0.3159
Epoch 9825/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.4094e-08 - accuracy: 1.0000 - val_loss: 18.3744 - val_accuracy: 0.3157
Epoch 9826/10000
16/16 [==============================] - 1s 38ms/step - loss: 3.3379e-08 - accuracy: 1.0000 - val_loss: 18.3827 - val_accuracy: 0.3157
Epoch 9827/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.3617e-08 - accuracy: 1.0000 - val_loss: 18.3914 - val_accuracy: 0.3155
Epoch 9828/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.2187e-08 - accuracy: 1.0000 - val_loss: 18.4021 - val_accuracy: 0.3155
Epoch 9829/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.3379e-08 - accuracy: 1.0000 - val_loss: 18.4104 - val_accuracy: 0.3156
Epoch 9830/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.2663e-08 - accuracy: 1.0000 - val_loss: 18.4193 - val_accuracy: 0.3157
Epoch 9831/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.3379e-08 - accuracy: 1.0000 - val_loss: 18.4254 - val_accuracy: 0.3156
Epoch 9832/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.1948e-08 - accuracy: 1.0000 - val_loss: 18.4352 - val_accuracy: 0.3156
Epoch 9833/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.1710e-08 - accuracy: 1.0000 - val_loss: 18.4429 - val_accuracy: 0.3156
Epoch 9834/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.1710e-08 - accuracy: 1.0000 - val_loss: 18.4499 - val_accuracy: 0.3156
Epoch 9835/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.2425e-08 - accuracy: 1.0000 - val_loss: 18.4594 - val_accuracy: 0.3159
Epoch 9836/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.2187e-08 - accuracy: 1.0000 - val_loss: 18.4661 - val_accuracy: 0.3157
Epoch 9837/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.0518e-08 - accuracy: 1.0000 - val_loss: 18.4749 - val_accuracy: 0.3156
Epoch 9838/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.0756e-08 - accuracy: 1.0000 - val_loss: 18.4837 - val_accuracy: 0.3156
Epoch 9839/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.1948e-08 - accuracy: 1.0000 - val_loss: 18.4899 - val_accuracy: 0.3157
Epoch 9840/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.9802e-08 - accuracy: 1.0000 - val_loss: 18.4974 - val_accuracy: 0.3158
Epoch 9841/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.8610e-08 - accuracy: 1.0000 - val_loss: 18.5076 - val_accuracy: 0.3158
Epoch 9842/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.9564e-08 - accuracy: 1.0000 - val_loss: 18.5172 - val_accuracy: 0.3158
Epoch 9843/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.8372e-08 - accuracy: 1.0000 - val_loss: 18.5224 - val_accuracy: 0.3154
Epoch 9844/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.8372e-08 - accuracy: 1.0000 - val_loss: 18.5326 - val_accuracy: 0.3158
Epoch 9845/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.7418e-08 - accuracy: 1.0000 - val_loss: 18.5433 - val_accuracy: 0.3158
Epoch 9846/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.7180e-08 - accuracy: 1.0000 - val_loss: 18.5516 - val_accuracy: 0.3157
Epoch 9847/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.7895e-08 - accuracy: 1.0000 - val_loss: 18.5607 - val_accuracy: 0.3161
Epoch 9848/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.6941e-08 - accuracy: 1.0000 - val_loss: 18.5702 - val_accuracy: 0.3157
Epoch 9849/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.6464e-08 - accuracy: 1.0000 - val_loss: 18.5772 - val_accuracy: 0.3159
Epoch 9850/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.5511e-08 - accuracy: 1.0000 - val_loss: 18.5884 - val_accuracy: 0.3158
Epoch 9851/10000
16/16 [==============================] - 1s 42ms/step - loss: 2.5272e-08 - accuracy: 1.0000 - val_loss: 18.5988 - val_accuracy: 0.3156
Epoch 9852/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.5511e-08 - accuracy: 1.0000 - val_loss: 18.6105 - val_accuracy: 0.3157
Epoch 9853/10000
16/16 [==============================] - 1s 42ms/step - loss: 2.4557e-08 - accuracy: 1.0000 - val_loss: 18.6206 - val_accuracy: 0.3156
Epoch 9854/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.5988e-08 - accuracy: 1.0000 - val_loss: 18.6293 - val_accuracy: 0.3153
Epoch 9855/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.4557e-08 - accuracy: 1.0000 - val_loss: 18.6375 - val_accuracy: 0.3156
Epoch 9856/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.4557e-08 - accuracy: 1.0000 - val_loss: 18.6482 - val_accuracy: 0.3152
Epoch 9857/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.4557e-08 - accuracy: 1.0000 - val_loss: 18.6581 - val_accuracy: 0.3153
Epoch 9858/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.3842e-08 - accuracy: 1.0000 - val_loss: 18.6674 - val_accuracy: 0.3154
Epoch 9859/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.4319e-08 - accuracy: 1.0000 - val_loss: 18.6775 - val_accuracy: 0.3151
Epoch 9860/10000
16/16 [==============================] - 1s 42ms/step - loss: 2.4080e-08 - accuracy: 1.0000 - val_loss: 18.6885 - val_accuracy: 0.3155
Epoch 9861/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.4080e-08 - accuracy: 1.0000 - val_loss: 18.7008 - val_accuracy: 0.3152
Epoch 9862/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.3127e-08 - accuracy: 1.0000 - val_loss: 18.7075 - val_accuracy: 0.3152
Epoch 9863/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.2888e-08 - accuracy: 1.0000 - val_loss: 18.7186 - val_accuracy: 0.3151
Epoch 9864/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.2411e-08 - accuracy: 1.0000 - val_loss: 18.7292 - val_accuracy: 0.3152
Epoch 9865/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.1696e-08 - accuracy: 1.0000 - val_loss: 18.7414 - val_accuracy: 0.3158
Epoch 9866/10000
16/16 [==============================] - 1s 42ms/step - loss: 2.2888e-08 - accuracy: 1.0000 - val_loss: 18.7498 - val_accuracy: 0.3157
Epoch 9867/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.0742e-08 - accuracy: 1.0000 - val_loss: 18.7595 - val_accuracy: 0.3154
Epoch 9868/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.0266e-08 - accuracy: 1.0000 - val_loss: 18.7714 - val_accuracy: 0.3150
Epoch 9869/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.1458e-08 - accuracy: 1.0000 - val_loss: 18.7839 - val_accuracy: 0.3150
Epoch 9870/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.0027e-08 - accuracy: 1.0000 - val_loss: 18.7934 - val_accuracy: 0.3154
Epoch 9871/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.9550e-08 - accuracy: 1.0000 - val_loss: 18.8061 - val_accuracy: 0.3154
Epoch 9872/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.0266e-08 - accuracy: 1.0000 - val_loss: 18.8175 - val_accuracy: 0.3154
Epoch 9873/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.9550e-08 - accuracy: 1.0000 - val_loss: 18.8277 - val_accuracy: 0.3154
Epoch 9874/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.9789e-08 - accuracy: 1.0000 - val_loss: 18.8403 - val_accuracy: 0.3153
Epoch 9875/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.9789e-08 - accuracy: 1.0000 - val_loss: 18.8516 - val_accuracy: 0.3155
Epoch 9876/10000
16/16 [==============================] - 1s 43ms/step - loss: 1.8597e-08 - accuracy: 1.0000 - val_loss: 18.8642 - val_accuracy: 0.3153
Epoch 9877/10000
16/16 [==============================] - 1s 48ms/step - loss: 1.9312e-08 - accuracy: 1.0000 - val_loss: 18.8762 - val_accuracy: 0.3152
Epoch 9878/10000
16/16 [==============================] - 1s 47ms/step - loss: 1.9550e-08 - accuracy: 1.0000 - val_loss: 18.8880 - val_accuracy: 0.3152
Epoch 9879/10000
16/16 [==============================] - 1s 48ms/step - loss: 1.8120e-08 - accuracy: 1.0000 - val_loss: 18.9007 - val_accuracy: 0.3149
Epoch 9880/10000
16/16 [==============================] - 1s 48ms/step - loss: 1.8120e-08 - accuracy: 1.0000 - val_loss: 18.9157 - val_accuracy: 0.3148
Epoch 9881/10000
16/16 [==============================] - 1s 47ms/step - loss: 1.9312e-08 - accuracy: 1.0000 - val_loss: 18.9238 - val_accuracy: 0.3153
Epoch 9882/10000
16/16 [==============================] - 1s 48ms/step - loss: 1.7881e-08 - accuracy: 1.0000 - val_loss: 18.9367 - val_accuracy: 0.3155
Epoch 9883/10000
16/16 [==============================] - 1s 47ms/step - loss: 1.7881e-08 - accuracy: 1.0000 - val_loss: 18.9508 - val_accuracy: 0.3156
Epoch 9884/10000
16/16 [==============================] - 1s 48ms/step - loss: 1.7643e-08 - accuracy: 1.0000 - val_loss: 18.9616 - val_accuracy: 0.3157
Epoch 9885/10000
16/16 [==============================] - 1s 49ms/step - loss: 1.7643e-08 - accuracy: 1.0000 - val_loss: 18.9763 - val_accuracy: 0.3155
Epoch 9886/10000
16/16 [==============================] - 1s 49ms/step - loss: 1.6689e-08 - accuracy: 1.0000 - val_loss: 18.9888 - val_accuracy: 0.3153
Epoch 9887/10000
16/16 [==============================] - 1s 47ms/step - loss: 1.7881e-08 - accuracy: 1.0000 - val_loss: 18.9999 - val_accuracy: 0.3154
Epoch 9888/10000
16/16 [==============================] - 1s 50ms/step - loss: 1.8120e-08 - accuracy: 1.0000 - val_loss: 19.0146 - val_accuracy: 0.3152
Epoch 9889/10000
16/16 [==============================] - 1s 48ms/step - loss: 1.6928e-08 - accuracy: 1.0000 - val_loss: 19.0249 - val_accuracy: 0.3154
Epoch 9890/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.7166e-08 - accuracy: 1.0000 - val_loss: 19.0384 - val_accuracy: 0.3150
Epoch 9891/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.7166e-08 - accuracy: 1.0000 - val_loss: 19.0510 - val_accuracy: 0.3148
Epoch 9892/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.6212e-08 - accuracy: 1.0000 - val_loss: 19.0632 - val_accuracy: 0.3149
Epoch 9893/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.5736e-08 - accuracy: 1.0000 - val_loss: 19.0774 - val_accuracy: 0.3150
Epoch 9894/10000
16/16 [==============================] - 1s 43ms/step - loss: 1.5497e-08 - accuracy: 1.0000 - val_loss: 19.0915 - val_accuracy: 0.3151
Epoch 9895/10000
16/16 [==============================] - 1s 43ms/step - loss: 1.5020e-08 - accuracy: 1.0000 - val_loss: 19.1051 - val_accuracy: 0.3148
Epoch 9896/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.6689e-08 - accuracy: 1.0000 - val_loss: 19.1197 - val_accuracy: 0.3149
Epoch 9897/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.5259e-08 - accuracy: 1.0000 - val_loss: 19.1320 - val_accuracy: 0.3147
Epoch 9898/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.5974e-08 - accuracy: 1.0000 - val_loss: 19.1447 - val_accuracy: 0.3146
Epoch 9899/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.5497e-08 - accuracy: 1.0000 - val_loss: 19.1602 - val_accuracy: 0.3146
Epoch 9900/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.4782e-08 - accuracy: 1.0000 - val_loss: 19.1752 - val_accuracy: 0.3146
Epoch 9901/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.5736e-08 - accuracy: 1.0000 - val_loss: 19.1898 - val_accuracy: 0.3146
Epoch 9902/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.4782e-08 - accuracy: 1.0000 - val_loss: 19.2015 - val_accuracy: 0.3142
Epoch 9903/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.5020e-08 - accuracy: 1.0000 - val_loss: 19.2154 - val_accuracy: 0.3141
Epoch 9904/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.4782e-08 - accuracy: 1.0000 - val_loss: 19.2304 - val_accuracy: 0.3140
Epoch 9905/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.5497e-08 - accuracy: 1.0000 - val_loss: 19.2442 - val_accuracy: 0.3138
Epoch 9906/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.5259e-08 - accuracy: 1.0000 - val_loss: 19.2558 - val_accuracy: 0.3139
Epoch 9907/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.4544e-08 - accuracy: 1.0000 - val_loss: 19.2675 - val_accuracy: 0.3139
Epoch 9908/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.5259e-08 - accuracy: 1.0000 - val_loss: 19.2836 - val_accuracy: 0.3141
Epoch 9909/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.4544e-08 - accuracy: 1.0000 - val_loss: 19.2962 - val_accuracy: 0.3139
Epoch 9910/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.4544e-08 - accuracy: 1.0000 - val_loss: 19.3079 - val_accuracy: 0.3142
Epoch 9911/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.4782e-08 - accuracy: 1.0000 - val_loss: 19.3209 - val_accuracy: 0.3138
Epoch 9912/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.5259e-08 - accuracy: 1.0000 - val_loss: 19.3343 - val_accuracy: 0.3139
Epoch 9913/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.3828e-08 - accuracy: 1.0000 - val_loss: 19.3466 - val_accuracy: 0.3138
Epoch 9914/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.4067e-08 - accuracy: 1.0000 - val_loss: 19.3584 - val_accuracy: 0.3138
Epoch 9915/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.3351e-08 - accuracy: 1.0000 - val_loss: 19.3734 - val_accuracy: 0.3136
Epoch 9916/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.4305e-08 - accuracy: 1.0000 - val_loss: 19.3882 - val_accuracy: 0.3136
Epoch 9917/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.4305e-08 - accuracy: 1.0000 - val_loss: 19.4013 - val_accuracy: 0.3136
Epoch 9918/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.2636e-08 - accuracy: 1.0000 - val_loss: 19.4139 - val_accuracy: 0.3137
Epoch 9919/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.2875e-08 - accuracy: 1.0000 - val_loss: 19.4314 - val_accuracy: 0.3134
Epoch 9920/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.3828e-08 - accuracy: 1.0000 - val_loss: 19.4449 - val_accuracy: 0.3134
Epoch 9921/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.3113e-08 - accuracy: 1.0000 - val_loss: 19.4583 - val_accuracy: 0.3131
Epoch 9922/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.3351e-08 - accuracy: 1.0000 - val_loss: 19.4721 - val_accuracy: 0.3129
Epoch 9923/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.3351e-08 - accuracy: 1.0000 - val_loss: 19.4866 - val_accuracy: 0.3130
Epoch 9924/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.4067e-08 - accuracy: 1.0000 - val_loss: 19.4990 - val_accuracy: 0.3129
Epoch 9925/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.2875e-08 - accuracy: 1.0000 - val_loss: 19.5107 - val_accuracy: 0.3126
Epoch 9926/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.2875e-08 - accuracy: 1.0000 - val_loss: 19.5266 - val_accuracy: 0.3124
Epoch 9927/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.2636e-08 - accuracy: 1.0000 - val_loss: 19.5421 - val_accuracy: 0.3127
Epoch 9928/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.2875e-08 - accuracy: 1.0000 - val_loss: 19.5563 - val_accuracy: 0.3130
Epoch 9929/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.2875e-08 - accuracy: 1.0000 - val_loss: 19.5706 - val_accuracy: 0.3124
Epoch 9930/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.2636e-08 - accuracy: 1.0000 - val_loss: 19.5844 - val_accuracy: 0.3122
Epoch 9931/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.3590e-08 - accuracy: 1.0000 - val_loss: 19.5979 - val_accuracy: 0.3121
Epoch 9932/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.3351e-08 - accuracy: 1.0000 - val_loss: 19.6129 - val_accuracy: 0.3125
Epoch 9933/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.1444e-08 - accuracy: 1.0000 - val_loss: 19.6253 - val_accuracy: 0.3124
Epoch 9934/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.1683e-08 - accuracy: 1.0000 - val_loss: 19.6422 - val_accuracy: 0.3125
Epoch 9935/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.2159e-08 - accuracy: 1.0000 - val_loss: 19.6576 - val_accuracy: 0.3124
Epoch 9936/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.2398e-08 - accuracy: 1.0000 - val_loss: 19.6706 - val_accuracy: 0.3128
Epoch 9937/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.1206e-08 - accuracy: 1.0000 - val_loss: 19.6865 - val_accuracy: 0.3127
Epoch 9938/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.1921e-08 - accuracy: 1.0000 - val_loss: 19.7021 - val_accuracy: 0.3125
Epoch 9939/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.1683e-08 - accuracy: 1.0000 - val_loss: 19.7127 - val_accuracy: 0.3123
Epoch 9940/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.1444e-08 - accuracy: 1.0000 - val_loss: 19.7297 - val_accuracy: 0.3125
Epoch 9941/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.1206e-08 - accuracy: 1.0000 - val_loss: 19.7430 - val_accuracy: 0.3125
Epoch 9942/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.1206e-08 - accuracy: 1.0000 - val_loss: 19.7607 - val_accuracy: 0.3125
Epoch 9943/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0967e-08 - accuracy: 1.0000 - val_loss: 19.7726 - val_accuracy: 0.3126
Epoch 9944/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.1683e-08 - accuracy: 1.0000 - val_loss: 19.7881 - val_accuracy: 0.3128
Epoch 9945/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0252e-08 - accuracy: 1.0000 - val_loss: 19.8045 - val_accuracy: 0.3126
Epoch 9946/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.1683e-08 - accuracy: 1.0000 - val_loss: 19.8223 - val_accuracy: 0.3124
Epoch 9947/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.1444e-08 - accuracy: 1.0000 - val_loss: 19.8341 - val_accuracy: 0.3124
Epoch 9948/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.1444e-08 - accuracy: 1.0000 - val_loss: 19.8482 - val_accuracy: 0.3123
Epoch 9949/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.0490e-08 - accuracy: 1.0000 - val_loss: 19.8587 - val_accuracy: 0.3123
Epoch 9950/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.7752e-09 - accuracy: 1.0000 - val_loss: 19.8771 - val_accuracy: 0.3124
Epoch 9951/10000
16/16 [==============================] - 1s 38ms/step - loss: 9.7752e-09 - accuracy: 1.0000 - val_loss: 19.8950 - val_accuracy: 0.3124
Epoch 9952/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.0014e-08 - accuracy: 1.0000 - val_loss: 19.9126 - val_accuracy: 0.3124
Epoch 9953/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.2983e-09 - accuracy: 1.0000 - val_loss: 19.9294 - val_accuracy: 0.3122
Epoch 9954/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.0014e-08 - accuracy: 1.0000 - val_loss: 19.9428 - val_accuracy: 0.3123
Epoch 9955/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.0599e-09 - accuracy: 1.0000 - val_loss: 19.9596 - val_accuracy: 0.3120
Epoch 9956/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.7752e-09 - accuracy: 1.0000 - val_loss: 19.9762 - val_accuracy: 0.3120
Epoch 9957/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.0599e-09 - accuracy: 1.0000 - val_loss: 19.9962 - val_accuracy: 0.3119
Epoch 9958/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.0599e-09 - accuracy: 1.0000 - val_loss: 20.0166 - val_accuracy: 0.3120
Epoch 9959/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.8678e-09 - accuracy: 1.0000 - val_loss: 20.0358 - val_accuracy: 0.3115
Epoch 9960/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.7752e-09 - accuracy: 1.0000 - val_loss: 20.0527 - val_accuracy: 0.3116
Epoch 9961/10000
16/16 [==============================] - 1s 41ms/step - loss: 8.5831e-09 - accuracy: 1.0000 - val_loss: 20.0729 - val_accuracy: 0.3116
Epoch 9962/10000
16/16 [==============================] - 1s 42ms/step - loss: 9.0599e-09 - accuracy: 1.0000 - val_loss: 20.0965 - val_accuracy: 0.3110
Epoch 9963/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.0599e-09 - accuracy: 1.0000 - val_loss: 20.1159 - val_accuracy: 0.3111
Epoch 9964/10000
16/16 [==============================] - 1s 41ms/step - loss: 9.2983e-09 - accuracy: 1.0000 - val_loss: 20.1323 - val_accuracy: 0.3107
Epoch 9965/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.8215e-09 - accuracy: 1.0000 - val_loss: 20.1522 - val_accuracy: 0.3104
Epoch 9966/10000
16/16 [==============================] - 1s 41ms/step - loss: 8.1062e-09 - accuracy: 1.0000 - val_loss: 20.1713 - val_accuracy: 0.3104
Epoch 9967/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.3446e-09 - accuracy: 1.0000 - val_loss: 20.1920 - val_accuracy: 0.3103
Epoch 9968/10000
16/16 [==============================] - 1s 41ms/step - loss: 8.5831e-09 - accuracy: 1.0000 - val_loss: 20.2146 - val_accuracy: 0.3106
Epoch 9969/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.5367e-09 - accuracy: 1.0000 - val_loss: 20.2346 - val_accuracy: 0.3104
Epoch 9970/10000
16/16 [==============================] - 1s 41ms/step - loss: 8.8215e-09 - accuracy: 1.0000 - val_loss: 20.2522 - val_accuracy: 0.3106
Epoch 9971/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.1062e-09 - accuracy: 1.0000 - val_loss: 20.2744 - val_accuracy: 0.3105
Epoch 9972/10000
16/16 [==============================] - 1s 43ms/step - loss: 9.0599e-09 - accuracy: 1.0000 - val_loss: 20.2920 - val_accuracy: 0.3103
Epoch 9973/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.3446e-09 - accuracy: 1.0000 - val_loss: 20.3116 - val_accuracy: 0.3108
Epoch 9974/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.5831e-09 - accuracy: 1.0000 - val_loss: 20.3360 - val_accuracy: 0.3108
Epoch 9975/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.5831e-09 - accuracy: 1.0000 - val_loss: 20.3576 - val_accuracy: 0.3104
Epoch 9976/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.0599e-09 - accuracy: 1.0000 - val_loss: 20.3746 - val_accuracy: 0.3104
Epoch 9977/10000
16/16 [==============================] - 1s 41ms/step - loss: 7.8678e-09 - accuracy: 1.0000 - val_loss: 20.3871 - val_accuracy: 0.3100
Epoch 9978/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.8678e-09 - accuracy: 1.0000 - val_loss: 20.4126 - val_accuracy: 0.3099
Epoch 9979/10000
16/16 [==============================] - 1s 38ms/step - loss: 8.8215e-09 - accuracy: 1.0000 - val_loss: 20.4361 - val_accuracy: 0.3100
Epoch 9980/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.5831e-09 - accuracy: 1.0000 - val_loss: 20.4546 - val_accuracy: 0.3100
Epoch 9981/10000
16/16 [==============================] - 1s 41ms/step - loss: 8.3446e-09 - accuracy: 1.0000 - val_loss: 20.4773 - val_accuracy: 0.3101
Epoch 9982/10000
16/16 [==============================] - 1s 41ms/step - loss: 8.8215e-09 - accuracy: 1.0000 - val_loss: 20.4934 - val_accuracy: 0.3102
Epoch 9983/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.3446e-09 - accuracy: 1.0000 - val_loss: 20.5123 - val_accuracy: 0.3100
Epoch 9984/10000
16/16 [==============================] - 1s 42ms/step - loss: 7.8678e-09 - accuracy: 1.0000 - val_loss: 20.5290 - val_accuracy: 0.3100
Epoch 9985/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.8678e-09 - accuracy: 1.0000 - val_loss: 20.5572 - val_accuracy: 0.3095
Epoch 9986/10000
16/16 [==============================] - 1s 43ms/step - loss: 7.6294e-09 - accuracy: 1.0000 - val_loss: 20.5799 - val_accuracy: 0.3092
Epoch 9987/10000
16/16 [==============================] - 1s 38ms/step - loss: 8.3446e-09 - accuracy: 1.0000 - val_loss: 20.5988 - val_accuracy: 0.3089
Epoch 9988/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.0599e-09 - accuracy: 1.0000 - val_loss: 20.6217 - val_accuracy: 0.3097
Epoch 9989/10000
16/16 [==============================] - 1s 41ms/step - loss: 8.1062e-09 - accuracy: 1.0000 - val_loss: 20.6395 - val_accuracy: 0.3093
Epoch 9990/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.1989e-09 - accuracy: 1.0000 - val_loss: 20.6649 - val_accuracy: 0.3095
Epoch 9991/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.5831e-09 - accuracy: 1.0000 - val_loss: 20.6950 - val_accuracy: 0.3096
Epoch 9992/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.8215e-09 - accuracy: 1.0000 - val_loss: 20.7120 - val_accuracy: 0.3089
Epoch 9993/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.1062e-09 - accuracy: 1.0000 - val_loss: 20.7313 - val_accuracy: 0.3093
Epoch 9994/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.6757e-09 - accuracy: 1.0000 - val_loss: 20.7559 - val_accuracy: 0.3089
Epoch 9995/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.5831e-09 - accuracy: 1.0000 - val_loss: 20.7845 - val_accuracy: 0.3088
Epoch 9996/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.3446e-09 - accuracy: 1.0000 - val_loss: 20.8126 - val_accuracy: 0.3087
Epoch 9997/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.1062e-09 - accuracy: 1.0000 - val_loss: 20.8303 - val_accuracy: 0.3089
Epoch 9998/10000
16/16 [==============================] - 1s 42ms/step - loss: 7.3910e-09 - accuracy: 1.0000 - val_loss: 20.8539 - val_accuracy: 0.3091
Epoch 9999/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.8678e-09 - accuracy: 1.0000 - val_loss: 20.8785 - val_accuracy: 0.3088
Epoch 10000/10000
16/16 [==============================] - 1s 41ms/step - loss: 6.6757e-09 - accuracy: 1.0000 - val_loss: 20.9045 - val_accuracy: 0.3090
In [ ]:
#validation_baseline = history.history['val_accuracy']
baseline = history2.history['val_accuracy']
epochs = range(0,10000)
plt.figure(figsize=(20,10))
plt.plot(epochs, baseline, 'r', label='Baseline')
#plt.plot(epochs, augmented, 'b', label='Augmented')
plt.axis([None, None, 0, 1])
plt.title('Adam')
plt.xlabel('Epoch')
plt.ylabel('Test Accuracy %')
plt.legend()
plt.show()
Transfer Learning Data¶
In [ ]:
#Create 2D CNN with 2 hidden layers
shape = (32,32,3) # Define shape of input for Keras model
init = tf.keras.initializers.HeNormal(seed=None)
model_final = keras.Sequential(
[
tf.keras.layers.Input(shape=shape),
tf.keras.layers.Conv2D(filters=10, kernel_size=(5,5), strides=1, activation='relu'),
tf.keras.layers.MaxPooling2D(pool_size=(2,2), strides=2),
tf.keras.layers.Conv2D(filters=10, kernel_size=(5,5), strides=1, activation='relu'),
tf.keras.layers.MaxPooling2D(pool_size=(2,2), strides=2),
tf.keras.layers.Flatten(),
#tf.keras.layers.Dense(513,activation='relu'),
tf.keras.layers.Dense(20,activation='relu'),
#tf.keras.layers.Dense(10, activation='softmax',kernel_initializer=init)
]
)
model_final.summary()
Model: "sequential_3" _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= conv2d_6 (Conv2D) (None, 28, 28, 10) 760 _________________________________________________________________ max_pooling2d_6 (MaxPooling2 (None, 14, 14, 10) 0 _________________________________________________________________ conv2d_7 (Conv2D) (None, 10, 10, 10) 2510 _________________________________________________________________ max_pooling2d_7 (MaxPooling2 (None, 5, 5, 10) 0 _________________________________________________________________ flatten_3 (Flatten) (None, 250) 0 _________________________________________________________________ dense_6 (Dense) (None, 20) 5020 ================================================================= Total params: 8,290 Trainable params: 8,290 Non-trainable params: 0 _________________________________________________________________
In [ ]:
#Load saved pretext model parameters and weights
model_final.load_weights('my_model.h5')
In [ ]:
#softmax = tf.keras.layers.Dense(10, activation='softmax',kernel_initializer=init)
#model_final = tf.keras.layers.add(softmax)
last_layer = layers.Dense(10, activation='softmax',kernel_initializer=init)
model_final.add(last_layer)
#model_final.add(10, activation='softmax',kernel_initializer=init))
In [ ]:
model_final.summary()
Model: "sequential_3" _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= conv2d_6 (Conv2D) (None, 28, 28, 10) 760 _________________________________________________________________ max_pooling2d_6 (MaxPooling2 (None, 14, 14, 10) 0 _________________________________________________________________ conv2d_7 (Conv2D) (None, 10, 10, 10) 2510 _________________________________________________________________ max_pooling2d_7 (MaxPooling2 (None, 5, 5, 10) 0 _________________________________________________________________ flatten_3 (Flatten) (None, 250) 0 _________________________________________________________________ dense_6 (Dense) (None, 20) 5020 _________________________________________________________________ dense_7 (Dense) (None, 10) 210 ================================================================= Total params: 8,500 Trainable params: 8,500 Non-trainable params: 0 _________________________________________________________________
In [ ]:
#Compile and fit the model
model_final.compile(loss="categorical_crossentropy", optimizer="adam", metrics=["accuracy"])
#model.compile(loss="MeanSquaredError", optimizer="adam", metrics=["accuracy"])
#model.fit(S_abs[:,:,np.newaxis], X_abs[:,np.newaxis,:], batch_size=50, epochs=50, validation_split=0.1)
#model.fit(X_train, y_train, batch_size=50, epochs=200, validation_split=0.1)
history3 = model_final.fit(X_train_500, y_train_500, batch_size = 32, epochs=10000, validation_data=(X_test, y_test)) #batch_size = 512
Streaming output truncated to the last 5000 lines.
16/16 [==============================] - 1s 38ms/step - loss: 6.4373e-09 - accuracy: 1.0000 - val_loss: 20.1867 - val_accuracy: 0.3493
Epoch 7502/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.1989e-09 - accuracy: 1.0000 - val_loss: 20.1995 - val_accuracy: 0.3492
Epoch 7503/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.1989e-09 - accuracy: 1.0000 - val_loss: 20.2117 - val_accuracy: 0.3490
Epoch 7504/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.9605e-09 - accuracy: 1.0000 - val_loss: 20.2189 - val_accuracy: 0.3488
Epoch 7505/10000
16/16 [==============================] - 1s 38ms/step - loss: 6.4373e-09 - accuracy: 1.0000 - val_loss: 20.2345 - val_accuracy: 0.3488
Epoch 7506/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.7220e-09 - accuracy: 1.0000 - val_loss: 20.2359 - val_accuracy: 0.3488
Epoch 7507/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.9605e-09 - accuracy: 1.0000 - val_loss: 20.2509 - val_accuracy: 0.3488
Epoch 7508/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.4373e-09 - accuracy: 1.0000 - val_loss: 20.2639 - val_accuracy: 0.3486
Epoch 7509/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.9605e-09 - accuracy: 1.0000 - val_loss: 20.2798 - val_accuracy: 0.3481
Epoch 7510/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.9141e-09 - accuracy: 1.0000 - val_loss: 20.2852 - val_accuracy: 0.3485
Epoch 7511/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.4373e-09 - accuracy: 1.0000 - val_loss: 20.2996 - val_accuracy: 0.3484
Epoch 7512/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.1526e-09 - accuracy: 1.0000 - val_loss: 20.3102 - val_accuracy: 0.3483
Epoch 7513/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.7220e-09 - accuracy: 1.0000 - val_loss: 20.3212 - val_accuracy: 0.3486
Epoch 7514/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.2452e-09 - accuracy: 1.0000 - val_loss: 20.3314 - val_accuracy: 0.3479
Epoch 7515/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.4836e-09 - accuracy: 1.0000 - val_loss: 20.3402 - val_accuracy: 0.3483
Epoch 7516/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.4373e-09 - accuracy: 1.0000 - val_loss: 20.3624 - val_accuracy: 0.3482
Epoch 7517/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.9141e-09 - accuracy: 1.0000 - val_loss: 20.3705 - val_accuracy: 0.3482
Epoch 7518/10000
16/16 [==============================] - 1s 38ms/step - loss: 6.1989e-09 - accuracy: 1.0000 - val_loss: 20.3805 - val_accuracy: 0.3477
Epoch 7519/10000
16/16 [==============================] - 1s 38ms/step - loss: 5.9605e-09 - accuracy: 1.0000 - val_loss: 20.3886 - val_accuracy: 0.3481
Epoch 7520/10000
16/16 [==============================] - 1s 38ms/step - loss: 5.7220e-09 - accuracy: 1.0000 - val_loss: 20.4077 - val_accuracy: 0.3479
Epoch 7521/10000
16/16 [==============================] - 1s 38ms/step - loss: 6.9141e-09 - accuracy: 1.0000 - val_loss: 20.4191 - val_accuracy: 0.3486
Epoch 7522/10000
16/16 [==============================] - 1s 37ms/step - loss: 6.9141e-09 - accuracy: 1.0000 - val_loss: 20.4298 - val_accuracy: 0.3484
Epoch 7523/10000
16/16 [==============================] - 1s 38ms/step - loss: 6.1989e-09 - accuracy: 1.0000 - val_loss: 20.4413 - val_accuracy: 0.3484
Epoch 7524/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.6757e-09 - accuracy: 1.0000 - val_loss: 20.4546 - val_accuracy: 0.3487
Epoch 7525/10000
16/16 [==============================] - 1s 37ms/step - loss: 5.9605e-09 - accuracy: 1.0000 - val_loss: 20.4604 - val_accuracy: 0.3485
Epoch 7526/10000
16/16 [==============================] - 1s 37ms/step - loss: 6.6757e-09 - accuracy: 1.0000 - val_loss: 20.4742 - val_accuracy: 0.3487
Epoch 7527/10000
16/16 [==============================] - 1s 38ms/step - loss: 5.9605e-09 - accuracy: 1.0000 - val_loss: 20.4809 - val_accuracy: 0.3486
Epoch 7528/10000
16/16 [==============================] - 1s 37ms/step - loss: 5.7220e-09 - accuracy: 1.0000 - val_loss: 20.4936 - val_accuracy: 0.3486
Epoch 7529/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.7220e-09 - accuracy: 1.0000 - val_loss: 20.5135 - val_accuracy: 0.3483
Epoch 7530/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.3910e-09 - accuracy: 1.0000 - val_loss: 20.5202 - val_accuracy: 0.3483
Epoch 7531/10000
16/16 [==============================] - 1s 38ms/step - loss: 6.6757e-09 - accuracy: 1.0000 - val_loss: 20.5264 - val_accuracy: 0.3485
Epoch 7532/10000
16/16 [==============================] - 1s 38ms/step - loss: 6.1989e-09 - accuracy: 1.0000 - val_loss: 20.5397 - val_accuracy: 0.3480
Epoch 7533/10000
16/16 [==============================] - 1s 37ms/step - loss: 5.7220e-09 - accuracy: 1.0000 - val_loss: 20.5567 - val_accuracy: 0.3479
Epoch 7534/10000
16/16 [==============================] - 1s 38ms/step - loss: 6.4373e-09 - accuracy: 1.0000 - val_loss: 20.5539 - val_accuracy: 0.3479
Epoch 7535/10000
16/16 [==============================] - 1s 37ms/step - loss: 6.4373e-09 - accuracy: 1.0000 - val_loss: 20.5697 - val_accuracy: 0.3479
Epoch 7536/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.4836e-09 - accuracy: 1.0000 - val_loss: 20.5848 - val_accuracy: 0.3481
Epoch 7537/10000
16/16 [==============================] - 1s 37ms/step - loss: 6.6757e-09 - accuracy: 1.0000 - val_loss: 20.5909 - val_accuracy: 0.3482
Epoch 7538/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.4373e-09 - accuracy: 1.0000 - val_loss: 20.6022 - val_accuracy: 0.3478
Epoch 7539/10000
16/16 [==============================] - 1s 38ms/step - loss: 5.9605e-09 - accuracy: 1.0000 - val_loss: 20.6162 - val_accuracy: 0.3477
Epoch 7540/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.9141e-09 - accuracy: 1.0000 - val_loss: 20.6156 - val_accuracy: 0.3479
Epoch 7541/10000
16/16 [==============================] - 1s 38ms/step - loss: 5.9605e-09 - accuracy: 1.0000 - val_loss: 20.6340 - val_accuracy: 0.3479
Epoch 7542/10000
16/16 [==============================] - 1s 38ms/step - loss: 5.2452e-09 - accuracy: 1.0000 - val_loss: 20.6412 - val_accuracy: 0.3478
Epoch 7543/10000
16/16 [==============================] - 1s 38ms/step - loss: 6.4373e-09 - accuracy: 1.0000 - val_loss: 20.6533 - val_accuracy: 0.3477
Epoch 7544/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.7220e-09 - accuracy: 1.0000 - val_loss: 20.6760 - val_accuracy: 0.3476
Epoch 7545/10000
16/16 [==============================] - 1s 38ms/step - loss: 6.1989e-09 - accuracy: 1.0000 - val_loss: 20.6741 - val_accuracy: 0.3475
Epoch 7546/10000
16/16 [==============================] - 1s 38ms/step - loss: 5.9605e-09 - accuracy: 1.0000 - val_loss: 20.6902 - val_accuracy: 0.3474
Epoch 7547/10000
16/16 [==============================] - 1s 37ms/step - loss: 5.9605e-09 - accuracy: 1.0000 - val_loss: 20.7060 - val_accuracy: 0.3472
Epoch 7548/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.4836e-09 - accuracy: 1.0000 - val_loss: 20.7115 - val_accuracy: 0.3471
Epoch 7549/10000
16/16 [==============================] - 1s 37ms/step - loss: 4.5300e-09 - accuracy: 1.0000 - val_loss: 20.7301 - val_accuracy: 0.3470
Epoch 7550/10000
16/16 [==============================] - 1s 38ms/step - loss: 6.1989e-09 - accuracy: 1.0000 - val_loss: 20.7436 - val_accuracy: 0.3470
Epoch 7551/10000
16/16 [==============================] - 1s 37ms/step - loss: 5.4836e-09 - accuracy: 1.0000 - val_loss: 20.7610 - val_accuracy: 0.3471
Epoch 7552/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.2452e-09 - accuracy: 1.0000 - val_loss: 20.7693 - val_accuracy: 0.3470
Epoch 7553/10000
16/16 [==============================] - 1s 37ms/step - loss: 5.4836e-09 - accuracy: 1.0000 - val_loss: 20.7883 - val_accuracy: 0.3472
Epoch 7554/10000
16/16 [==============================] - 1s 38ms/step - loss: 5.9605e-09 - accuracy: 1.0000 - val_loss: 20.8045 - val_accuracy: 0.3468
Epoch 7555/10000
16/16 [==============================] - 1s 38ms/step - loss: 5.4836e-09 - accuracy: 1.0000 - val_loss: 20.8142 - val_accuracy: 0.3469
Epoch 7556/10000
16/16 [==============================] - 1s 38ms/step - loss: 4.5300e-09 - accuracy: 1.0000 - val_loss: 20.8360 - val_accuracy: 0.3470
Epoch 7557/10000
16/16 [==============================] - 1s 37ms/step - loss: 5.4836e-09 - accuracy: 1.0000 - val_loss: 20.8476 - val_accuracy: 0.3469
Epoch 7558/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.7220e-09 - accuracy: 1.0000 - val_loss: 20.8774 - val_accuracy: 0.3472
Epoch 7559/10000
16/16 [==============================] - 1s 37ms/step - loss: 6.4373e-09 - accuracy: 1.0000 - val_loss: 20.8937 - val_accuracy: 0.3470
Epoch 7560/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.6757e-09 - accuracy: 1.0000 - val_loss: 20.8889 - val_accuracy: 0.3469
Epoch 7561/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.2452e-09 - accuracy: 1.0000 - val_loss: 20.9298 - val_accuracy: 0.3468
Epoch 7562/10000
16/16 [==============================] - 1s 38ms/step - loss: 6.6757e-09 - accuracy: 1.0000 - val_loss: 20.9209 - val_accuracy: 0.3468
Epoch 7563/10000
16/16 [==============================] - 1s 37ms/step - loss: 5.2452e-09 - accuracy: 1.0000 - val_loss: 20.9476 - val_accuracy: 0.3468
Epoch 7564/10000
16/16 [==============================] - 1s 38ms/step - loss: 5.4836e-09 - accuracy: 1.0000 - val_loss: 20.9506 - val_accuracy: 0.3472
Epoch 7565/10000
16/16 [==============================] - 1s 38ms/step - loss: 5.2452e-09 - accuracy: 1.0000 - val_loss: 20.9584 - val_accuracy: 0.3470
Epoch 7566/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.4836e-09 - accuracy: 1.0000 - val_loss: 20.9956 - val_accuracy: 0.3472
Epoch 7567/10000
16/16 [==============================] - 1s 37ms/step - loss: 4.7684e-09 - accuracy: 1.0000 - val_loss: 21.0101 - val_accuracy: 0.3472
Epoch 7568/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.1989e-09 - accuracy: 1.0000 - val_loss: 21.0348 - val_accuracy: 0.3470
Epoch 7569/10000
16/16 [==============================] - 1s 37ms/step - loss: 5.7220e-09 - accuracy: 1.0000 - val_loss: 21.0569 - val_accuracy: 0.3474
Epoch 7570/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.4373e-09 - accuracy: 1.0000 - val_loss: 21.0629 - val_accuracy: 0.3477
Epoch 7571/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.7220e-09 - accuracy: 1.0000 - val_loss: 21.0836 - val_accuracy: 0.3481
Epoch 7572/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.6757e-09 - accuracy: 1.0000 - val_loss: 21.1032 - val_accuracy: 0.3480
Epoch 7573/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.1989e-09 - accuracy: 1.0000 - val_loss: 21.1054 - val_accuracy: 0.3479
Epoch 7574/10000
16/16 [==============================] - 1s 38ms/step - loss: 6.6757e-09 - accuracy: 1.0000 - val_loss: 21.1170 - val_accuracy: 0.3476
Epoch 7575/10000
16/16 [==============================] - 1s 37ms/step - loss: 5.2452e-09 - accuracy: 1.0000 - val_loss: 21.1345 - val_accuracy: 0.3477
Epoch 7576/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.1989e-09 - accuracy: 1.0000 - val_loss: 21.1479 - val_accuracy: 0.3470
Epoch 7577/10000
16/16 [==============================] - 1s 38ms/step - loss: 5.0068e-09 - accuracy: 1.0000 - val_loss: 21.1640 - val_accuracy: 0.3468
Epoch 7578/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.2452e-09 - accuracy: 1.0000 - val_loss: 21.1981 - val_accuracy: 0.3471
Epoch 7579/10000
16/16 [==============================] - 1s 38ms/step - loss: 5.4836e-09 - accuracy: 1.0000 - val_loss: 21.2019 - val_accuracy: 0.3469
Epoch 7580/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.6757e-09 - accuracy: 1.0000 - val_loss: 21.2446 - val_accuracy: 0.3469
Epoch 7581/10000
16/16 [==============================] - 1s 38ms/step - loss: 6.9141e-09 - accuracy: 1.0000 - val_loss: 21.2425 - val_accuracy: 0.3465
Epoch 7582/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.1989e-09 - accuracy: 1.0000 - val_loss: 21.2632 - val_accuracy: 0.3463
Epoch 7583/10000
16/16 [==============================] - 1s 37ms/step - loss: 6.9141e-09 - accuracy: 1.0000 - val_loss: 21.2818 - val_accuracy: 0.3465
Epoch 7584/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.9605e-09 - accuracy: 1.0000 - val_loss: 21.3012 - val_accuracy: 0.3464
Epoch 7585/10000
16/16 [==============================] - 1s 38ms/step - loss: 5.7220e-09 - accuracy: 1.0000 - val_loss: 21.3048 - val_accuracy: 0.3470
Epoch 7586/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.1989e-09 - accuracy: 1.0000 - val_loss: 21.3340 - val_accuracy: 0.3467
Epoch 7587/10000
16/16 [==============================] - 1s 37ms/step - loss: 7.1526e-09 - accuracy: 1.0000 - val_loss: 21.3507 - val_accuracy: 0.3473
Epoch 7588/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.1989e-09 - accuracy: 1.0000 - val_loss: 21.3720 - val_accuracy: 0.3470
Epoch 7589/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.6757e-09 - accuracy: 1.0000 - val_loss: 21.3776 - val_accuracy: 0.3472
Epoch 7590/10000
16/16 [==============================] - 1s 38ms/step - loss: 5.7220e-09 - accuracy: 1.0000 - val_loss: 21.4262 - val_accuracy: 0.3471
Epoch 7591/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.9605e-09 - accuracy: 1.0000 - val_loss: 21.4066 - val_accuracy: 0.3473
Epoch 7592/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.7220e-09 - accuracy: 1.0000 - val_loss: 21.4334 - val_accuracy: 0.3475
Epoch 7593/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.4836e-09 - accuracy: 1.0000 - val_loss: 21.4682 - val_accuracy: 0.3474
Epoch 7594/10000
16/16 [==============================] - 1s 38ms/step - loss: 6.4373e-09 - accuracy: 1.0000 - val_loss: 21.4787 - val_accuracy: 0.3472
Epoch 7595/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.9605e-09 - accuracy: 1.0000 - val_loss: 21.4932 - val_accuracy: 0.3471
Epoch 7596/10000
16/16 [==============================] - 1s 38ms/step - loss: 6.4373e-09 - accuracy: 1.0000 - val_loss: 21.5236 - val_accuracy: 0.3478
Epoch 7597/10000
16/16 [==============================] - 1s 41ms/step - loss: 6.9141e-09 - accuracy: 1.0000 - val_loss: 21.5267 - val_accuracy: 0.3473
Epoch 7598/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.1989e-09 - accuracy: 1.0000 - val_loss: 21.5861 - val_accuracy: 0.3473
Epoch 7599/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.9605e-09 - accuracy: 1.0000 - val_loss: 21.5734 - val_accuracy: 0.3474
Epoch 7600/10000
16/16 [==============================] - 1s 37ms/step - loss: 5.9605e-09 - accuracy: 1.0000 - val_loss: 21.6121 - val_accuracy: 0.3476
Epoch 7601/10000
16/16 [==============================] - 1s 38ms/step - loss: 5.9605e-09 - accuracy: 1.0000 - val_loss: 21.6310 - val_accuracy: 0.3463
Epoch 7602/10000
16/16 [==============================] - 1s 38ms/step - loss: 6.1989e-09 - accuracy: 1.0000 - val_loss: 21.6517 - val_accuracy: 0.3467
Epoch 7603/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.4373e-09 - accuracy: 1.0000 - val_loss: 21.6795 - val_accuracy: 0.3465
Epoch 7604/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.6757e-09 - accuracy: 1.0000 - val_loss: 21.7019 - val_accuracy: 0.3471
Epoch 7605/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.4836e-09 - accuracy: 1.0000 - val_loss: 21.7286 - val_accuracy: 0.3463
Epoch 7606/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.4836e-09 - accuracy: 1.0000 - val_loss: 21.7447 - val_accuracy: 0.3461
Epoch 7607/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.1989e-09 - accuracy: 1.0000 - val_loss: 21.7782 - val_accuracy: 0.3464
Epoch 7608/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.4836e-09 - accuracy: 1.0000 - val_loss: 21.8129 - val_accuracy: 0.3458
Epoch 7609/10000
16/16 [==============================] - 1s 38ms/step - loss: 5.7220e-09 - accuracy: 1.0000 - val_loss: 21.8442 - val_accuracy: 0.3465
Epoch 7610/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.9605e-09 - accuracy: 1.0000 - val_loss: 21.8603 - val_accuracy: 0.3461
Epoch 7611/10000
16/16 [==============================] - 1s 38ms/step - loss: 6.4373e-09 - accuracy: 1.0000 - val_loss: 21.8949 - val_accuracy: 0.3462
Epoch 7612/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.4836e-09 - accuracy: 1.0000 - val_loss: 21.9022 - val_accuracy: 0.3462
Epoch 7613/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.6757e-09 - accuracy: 1.0000 - val_loss: 21.9281 - val_accuracy: 0.3462
Epoch 7614/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.9141e-09 - accuracy: 1.0000 - val_loss: 21.9569 - val_accuracy: 0.3460
Epoch 7615/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.4373e-09 - accuracy: 1.0000 - val_loss: 21.9558 - val_accuracy: 0.3457
Epoch 7616/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.4836e-09 - accuracy: 1.0000 - val_loss: 22.0175 - val_accuracy: 0.3455
Epoch 7617/10000
16/16 [==============================] - 1s 38ms/step - loss: 6.4373e-09 - accuracy: 1.0000 - val_loss: 22.0175 - val_accuracy: 0.3462
Epoch 7618/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.9605e-09 - accuracy: 1.0000 - val_loss: 22.0519 - val_accuracy: 0.3454
Epoch 7619/10000
16/16 [==============================] - 1s 38ms/step - loss: 6.9141e-09 - accuracy: 1.0000 - val_loss: 22.0622 - val_accuracy: 0.3457
Epoch 7620/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.7220e-09 - accuracy: 1.0000 - val_loss: 22.0909 - val_accuracy: 0.3463
Epoch 7621/10000
16/16 [==============================] - 1s 41ms/step - loss: 5.0068e-09 - accuracy: 1.0000 - val_loss: 22.1324 - val_accuracy: 0.3448
Epoch 7622/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.9605e-09 - accuracy: 1.0000 - val_loss: 22.1449 - val_accuracy: 0.3454
Epoch 7623/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.9141e-09 - accuracy: 1.0000 - val_loss: 22.1827 - val_accuracy: 0.3451
Epoch 7624/10000
16/16 [==============================] - 1s 38ms/step - loss: 5.2452e-09 - accuracy: 1.0000 - val_loss: 22.2038 - val_accuracy: 0.3450
Epoch 7625/10000
16/16 [==============================] - 1s 38ms/step - loss: 6.6757e-09 - accuracy: 1.0000 - val_loss: 22.2326 - val_accuracy: 0.3447
Epoch 7626/10000
16/16 [==============================] - 1s 38ms/step - loss: 7.1526e-09 - accuracy: 1.0000 - val_loss: 22.2778 - val_accuracy: 0.3449
Epoch 7627/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.6294e-09 - accuracy: 1.0000 - val_loss: 22.2991 - val_accuracy: 0.3451
Epoch 7628/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.7220e-09 - accuracy: 1.0000 - val_loss: 22.3044 - val_accuracy: 0.3456
Epoch 7629/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.4373e-09 - accuracy: 1.0000 - val_loss: 22.3478 - val_accuracy: 0.3447
Epoch 7630/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.4373e-09 - accuracy: 1.0000 - val_loss: 22.3716 - val_accuracy: 0.3450
Epoch 7631/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.4373e-09 - accuracy: 1.0000 - val_loss: 22.4016 - val_accuracy: 0.3452
Epoch 7632/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.1989e-09 - accuracy: 1.0000 - val_loss: 22.4506 - val_accuracy: 0.3456
Epoch 7633/10000
16/16 [==============================] - 1s 41ms/step - loss: 8.3446e-09 - accuracy: 1.0000 - val_loss: 22.4854 - val_accuracy: 0.3455
Epoch 7634/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.8215e-09 - accuracy: 1.0000 - val_loss: 22.4779 - val_accuracy: 0.3459
Epoch 7635/10000
16/16 [==============================] - 1s 41ms/step - loss: 6.6757e-09 - accuracy: 1.0000 - val_loss: 22.5227 - val_accuracy: 0.3453
Epoch 7636/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.1526e-09 - accuracy: 1.0000 - val_loss: 22.5456 - val_accuracy: 0.3457
Epoch 7637/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.3446e-09 - accuracy: 1.0000 - val_loss: 22.5819 - val_accuracy: 0.3463
Epoch 7638/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.3910e-09 - accuracy: 1.0000 - val_loss: 22.6004 - val_accuracy: 0.3461
Epoch 7639/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.1062e-09 - accuracy: 1.0000 - val_loss: 22.6108 - val_accuracy: 0.3459
Epoch 7640/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.7220e-09 - accuracy: 1.0000 - val_loss: 22.6711 - val_accuracy: 0.3456
Epoch 7641/10000
16/16 [==============================] - 1s 41ms/step - loss: 9.2983e-09 - accuracy: 1.0000 - val_loss: 22.6892 - val_accuracy: 0.3459
Epoch 7642/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.3446e-09 - accuracy: 1.0000 - val_loss: 22.7158 - val_accuracy: 0.3452
Epoch 7643/10000
16/16 [==============================] - 1s 41ms/step - loss: 8.8215e-09 - accuracy: 1.0000 - val_loss: 22.7311 - val_accuracy: 0.3460
Epoch 7644/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.3446e-09 - accuracy: 1.0000 - val_loss: 22.7571 - val_accuracy: 0.3448
Epoch 7645/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.6757e-09 - accuracy: 1.0000 - val_loss: 22.7537 - val_accuracy: 0.3461
Epoch 7646/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.0599e-09 - accuracy: 1.0000 - val_loss: 22.8202 - val_accuracy: 0.3454
Epoch 7647/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.1526e-09 - accuracy: 1.0000 - val_loss: 22.8258 - val_accuracy: 0.3453
Epoch 7648/10000
16/16 [==============================] - 1s 38ms/step - loss: 7.6294e-09 - accuracy: 1.0000 - val_loss: 22.8623 - val_accuracy: 0.3458
Epoch 7649/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.1989e-09 - accuracy: 1.0000 - val_loss: 22.9050 - val_accuracy: 0.3449
Epoch 7650/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.2983e-09 - accuracy: 1.0000 - val_loss: 22.9347 - val_accuracy: 0.3455
Epoch 7651/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.6294e-09 - accuracy: 1.0000 - val_loss: 22.9749 - val_accuracy: 0.3446
Epoch 7652/10000
16/16 [==============================] - 1s 38ms/step - loss: 8.8215e-09 - accuracy: 1.0000 - val_loss: 22.9961 - val_accuracy: 0.3448
Epoch 7653/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.6294e-09 - accuracy: 1.0000 - val_loss: 23.0161 - val_accuracy: 0.3439
Epoch 7654/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.8678e-09 - accuracy: 1.0000 - val_loss: 23.0660 - val_accuracy: 0.3446
Epoch 7655/10000
16/16 [==============================] - 1s 38ms/step - loss: 9.0599e-09 - accuracy: 1.0000 - val_loss: 23.0974 - val_accuracy: 0.3440
Epoch 7656/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.5831e-09 - accuracy: 1.0000 - val_loss: 23.1331 - val_accuracy: 0.3448
Epoch 7657/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.3446e-09 - accuracy: 1.0000 - val_loss: 23.1626 - val_accuracy: 0.3437
Epoch 7658/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.0729e-08 - accuracy: 1.0000 - val_loss: 23.1621 - val_accuracy: 0.3439
Epoch 7659/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.8678e-09 - accuracy: 1.0000 - val_loss: 23.1834 - val_accuracy: 0.3442
Epoch 7660/10000
16/16 [==============================] - 1s 38ms/step - loss: 7.6294e-09 - accuracy: 1.0000 - val_loss: 23.2516 - val_accuracy: 0.3438
Epoch 7661/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.8215e-09 - accuracy: 1.0000 - val_loss: 23.2916 - val_accuracy: 0.3433
Epoch 7662/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.5367e-09 - accuracy: 1.0000 - val_loss: 23.3102 - val_accuracy: 0.3438
Epoch 7663/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.5367e-09 - accuracy: 1.0000 - val_loss: 23.3750 - val_accuracy: 0.3440
Epoch 7664/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.1683e-08 - accuracy: 1.0000 - val_loss: 23.3826 - val_accuracy: 0.3434
Epoch 7665/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.0599e-09 - accuracy: 1.0000 - val_loss: 23.4281 - val_accuracy: 0.3432
Epoch 7666/10000
16/16 [==============================] - 1s 38ms/step - loss: 9.5367e-09 - accuracy: 1.0000 - val_loss: 23.4406 - val_accuracy: 0.3431
Epoch 7667/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0252e-08 - accuracy: 1.0000 - val_loss: 23.4854 - val_accuracy: 0.3426
Epoch 7668/10000
16/16 [==============================] - 1s 38ms/step - loss: 9.7752e-09 - accuracy: 1.0000 - val_loss: 23.4913 - val_accuracy: 0.3425
Epoch 7669/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.0252e-08 - accuracy: 1.0000 - val_loss: 23.5316 - val_accuracy: 0.3431
Epoch 7670/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.3446e-09 - accuracy: 1.0000 - val_loss: 23.5539 - val_accuracy: 0.3431
Epoch 7671/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.1683e-08 - accuracy: 1.0000 - val_loss: 23.5672 - val_accuracy: 0.3440
Epoch 7672/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.1206e-08 - accuracy: 1.0000 - val_loss: 23.6585 - val_accuracy: 0.3425
Epoch 7673/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.1206e-08 - accuracy: 1.0000 - val_loss: 23.6045 - val_accuracy: 0.3449
Epoch 7674/10000
16/16 [==============================] - 1s 41ms/step - loss: 8.1062e-09 - accuracy: 1.0000 - val_loss: 23.6400 - val_accuracy: 0.3434
Epoch 7675/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.5367e-09 - accuracy: 1.0000 - val_loss: 23.7227 - val_accuracy: 0.3420
Epoch 7676/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0014e-08 - accuracy: 1.0000 - val_loss: 23.7815 - val_accuracy: 0.3422
Epoch 7677/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.1444e-08 - accuracy: 1.0000 - val_loss: 23.7852 - val_accuracy: 0.3443
Epoch 7678/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.1444e-08 - accuracy: 1.0000 - val_loss: 23.8363 - val_accuracy: 0.3437
Epoch 7679/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.1206e-08 - accuracy: 1.0000 - val_loss: 23.8805 - val_accuracy: 0.3430
Epoch 7680/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.4544e-08 - accuracy: 1.0000 - val_loss: 23.8513 - val_accuracy: 0.3426
Epoch 7681/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.0599e-09 - accuracy: 1.0000 - val_loss: 23.9163 - val_accuracy: 0.3435
Epoch 7682/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.1206e-08 - accuracy: 1.0000 - val_loss: 23.9427 - val_accuracy: 0.3439
Epoch 7683/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.4067e-08 - accuracy: 1.0000 - val_loss: 23.9729 - val_accuracy: 0.3429
Epoch 7684/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.2636e-08 - accuracy: 1.0000 - val_loss: 23.9643 - val_accuracy: 0.3432
Epoch 7685/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.5367e-09 - accuracy: 1.0000 - val_loss: 23.9911 - val_accuracy: 0.3437
Epoch 7686/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.5020e-08 - accuracy: 1.0000 - val_loss: 24.0039 - val_accuracy: 0.3438
Epoch 7687/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0252e-08 - accuracy: 1.0000 - val_loss: 24.0915 - val_accuracy: 0.3426
Epoch 7688/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.5831e-09 - accuracy: 1.0000 - val_loss: 24.1298 - val_accuracy: 0.3424
Epoch 7689/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.0490e-08 - accuracy: 1.0000 - val_loss: 24.1678 - val_accuracy: 0.3432
Epoch 7690/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.1921e-08 - accuracy: 1.0000 - val_loss: 24.2530 - val_accuracy: 0.3419
Epoch 7691/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.8215e-09 - accuracy: 1.0000 - val_loss: 24.2677 - val_accuracy: 0.3430
Epoch 7692/10000
16/16 [==============================] - 1s 38ms/step - loss: 9.7752e-09 - accuracy: 1.0000 - val_loss: 24.3393 - val_accuracy: 0.3431
Epoch 7693/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.1683e-08 - accuracy: 1.0000 - val_loss: 24.3803 - val_accuracy: 0.3431
Epoch 7694/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.5020e-08 - accuracy: 1.0000 - val_loss: 24.3424 - val_accuracy: 0.3435
Epoch 7695/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0490e-08 - accuracy: 1.0000 - val_loss: 24.5089 - val_accuracy: 0.3424
Epoch 7696/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.2159e-08 - accuracy: 1.0000 - val_loss: 24.5491 - val_accuracy: 0.3421
Epoch 7697/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.3113e-08 - accuracy: 1.0000 - val_loss: 24.5579 - val_accuracy: 0.3425
Epoch 7698/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.3446e-09 - accuracy: 1.0000 - val_loss: 24.5542 - val_accuracy: 0.3430
Epoch 7699/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.4305e-08 - accuracy: 1.0000 - val_loss: 24.6335 - val_accuracy: 0.3422
Epoch 7700/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.1921e-08 - accuracy: 1.0000 - val_loss: 24.6600 - val_accuracy: 0.3437
Epoch 7701/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.3828e-08 - accuracy: 1.0000 - val_loss: 24.7279 - val_accuracy: 0.3427
Epoch 7702/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.1444e-08 - accuracy: 1.0000 - val_loss: 24.7301 - val_accuracy: 0.3432
Epoch 7703/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.2398e-08 - accuracy: 1.0000 - val_loss: 24.8181 - val_accuracy: 0.3423
Epoch 7704/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.0729e-08 - accuracy: 1.0000 - val_loss: 24.8398 - val_accuracy: 0.3425
Epoch 7705/10000
16/16 [==============================] - 1s 38ms/step - loss: 9.2983e-09 - accuracy: 1.0000 - val_loss: 24.9317 - val_accuracy: 0.3421
Epoch 7706/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.1921e-08 - accuracy: 1.0000 - val_loss: 24.9175 - val_accuracy: 0.3439
Epoch 7707/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.3113e-08 - accuracy: 1.0000 - val_loss: 24.9732 - val_accuracy: 0.3431
Epoch 7708/10000
16/16 [==============================] - 1s 40ms/step - loss: 0.3450 - accuracy: 0.9740 - val_loss: 34.5256 - val_accuracy: 0.2772
Epoch 7709/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.6984 - accuracy: 0.8440 - val_loss: 18.2387 - val_accuracy: 0.3219
Epoch 7710/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.0871 - accuracy: 0.8540 - val_loss: 16.5761 - val_accuracy: 0.3425
Epoch 7711/10000
16/16 [==============================] - 1s 39ms/step - loss: 0.2224 - accuracy: 0.9600 - val_loss: 18.0699 - val_accuracy: 0.3379
Epoch 7712/10000
16/16 [==============================] - 1s 38ms/step - loss: 0.0636 - accuracy: 0.9920 - val_loss: 18.0264 - val_accuracy: 0.3462
Epoch 7713/10000
16/16 [==============================] - 1s 39ms/step - loss: 0.0200 - accuracy: 0.9920 - val_loss: 17.7923 - val_accuracy: 0.3503
Epoch 7714/10000
16/16 [==============================] - 1s 38ms/step - loss: 0.0109 - accuracy: 0.9980 - val_loss: 17.8369 - val_accuracy: 0.3480
Epoch 7715/10000
16/16 [==============================] - 1s 40ms/step - loss: 0.0045 - accuracy: 0.9980 - val_loss: 17.8426 - val_accuracy: 0.3495
Epoch 7716/10000
16/16 [==============================] - 1s 38ms/step - loss: 0.0051 - accuracy: 0.9980 - val_loss: 17.3980 - val_accuracy: 0.3471
Epoch 7717/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.8800e-04 - accuracy: 1.0000 - val_loss: 18.0766 - val_accuracy: 0.3480
Epoch 7718/10000
16/16 [==============================] - 1s 38ms/step - loss: 0.0028 - accuracy: 0.9980 - val_loss: 17.9274 - val_accuracy: 0.3476
Epoch 7719/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.2201e-04 - accuracy: 1.0000 - val_loss: 17.8957 - val_accuracy: 0.3408
Epoch 7720/10000
16/16 [==============================] - 1s 38ms/step - loss: 5.3954e-04 - accuracy: 1.0000 - val_loss: 17.7807 - val_accuracy: 0.3418
Epoch 7721/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.6556e-04 - accuracy: 1.0000 - val_loss: 17.7228 - val_accuracy: 0.3435
Epoch 7722/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.0181e-04 - accuracy: 1.0000 - val_loss: 17.7102 - val_accuracy: 0.3447
Epoch 7723/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.5408e-05 - accuracy: 1.0000 - val_loss: 17.7041 - val_accuracy: 0.3450
Epoch 7724/10000
16/16 [==============================] - 1s 37ms/step - loss: 7.6936e-05 - accuracy: 1.0000 - val_loss: 17.6995 - val_accuracy: 0.3452
Epoch 7725/10000
16/16 [==============================] - 1s 38ms/step - loss: 7.1536e-05 - accuracy: 1.0000 - val_loss: 17.6983 - val_accuracy: 0.3459
Epoch 7726/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.6528e-05 - accuracy: 1.0000 - val_loss: 17.6936 - val_accuracy: 0.3466
Epoch 7727/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.3350e-05 - accuracy: 1.0000 - val_loss: 17.6889 - val_accuracy: 0.3470
Epoch 7728/10000
16/16 [==============================] - 1s 38ms/step - loss: 5.9275e-05 - accuracy: 1.0000 - val_loss: 17.6889 - val_accuracy: 0.3475
Epoch 7729/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.6457e-05 - accuracy: 1.0000 - val_loss: 17.6881 - val_accuracy: 0.3473
Epoch 7730/10000
16/16 [==============================] - 1s 38ms/step - loss: 5.3579e-05 - accuracy: 1.0000 - val_loss: 17.6842 - val_accuracy: 0.3473
Epoch 7731/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.1849e-05 - accuracy: 1.0000 - val_loss: 17.6800 - val_accuracy: 0.3473
Epoch 7732/10000
16/16 [==============================] - 1s 37ms/step - loss: 5.0008e-05 - accuracy: 1.0000 - val_loss: 17.6775 - val_accuracy: 0.3473
Epoch 7733/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.8451e-05 - accuracy: 1.0000 - val_loss: 17.6760 - val_accuracy: 0.3477
Epoch 7734/10000
16/16 [==============================] - 1s 38ms/step - loss: 4.6713e-05 - accuracy: 1.0000 - val_loss: 17.6742 - val_accuracy: 0.3476
Epoch 7735/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.5530e-05 - accuracy: 1.0000 - val_loss: 17.6722 - val_accuracy: 0.3481
Epoch 7736/10000
16/16 [==============================] - 1s 38ms/step - loss: 4.4003e-05 - accuracy: 1.0000 - val_loss: 17.6701 - val_accuracy: 0.3484
Epoch 7737/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.2986e-05 - accuracy: 1.0000 - val_loss: 17.6671 - val_accuracy: 0.3482
Epoch 7738/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.1630e-05 - accuracy: 1.0000 - val_loss: 17.6655 - val_accuracy: 0.3481
Epoch 7739/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.0674e-05 - accuracy: 1.0000 - val_loss: 17.6639 - val_accuracy: 0.3483
Epoch 7740/10000
16/16 [==============================] - 1s 38ms/step - loss: 3.9603e-05 - accuracy: 1.0000 - val_loss: 17.6618 - val_accuracy: 0.3482
Epoch 7741/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.8498e-05 - accuracy: 1.0000 - val_loss: 17.6603 - val_accuracy: 0.3480
Epoch 7742/10000
16/16 [==============================] - 1s 38ms/step - loss: 3.7776e-05 - accuracy: 1.0000 - val_loss: 17.6590 - val_accuracy: 0.3479
Epoch 7743/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.6952e-05 - accuracy: 1.0000 - val_loss: 17.6575 - val_accuracy: 0.3478
Epoch 7744/10000
16/16 [==============================] - 1s 38ms/step - loss: 3.6086e-05 - accuracy: 1.0000 - val_loss: 17.6556 - val_accuracy: 0.3478
Epoch 7745/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.5294e-05 - accuracy: 1.0000 - val_loss: 17.6543 - val_accuracy: 0.3478
Epoch 7746/10000
16/16 [==============================] - 1s 38ms/step - loss: 3.4602e-05 - accuracy: 1.0000 - val_loss: 17.6523 - val_accuracy: 0.3477
Epoch 7747/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.4060e-05 - accuracy: 1.0000 - val_loss: 17.6529 - val_accuracy: 0.3477
Epoch 7748/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.3182e-05 - accuracy: 1.0000 - val_loss: 17.6512 - val_accuracy: 0.3477
Epoch 7749/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.2547e-05 - accuracy: 1.0000 - val_loss: 17.6504 - val_accuracy: 0.3476
Epoch 7750/10000
16/16 [==============================] - 1s 38ms/step - loss: 3.1963e-05 - accuracy: 1.0000 - val_loss: 17.6489 - val_accuracy: 0.3475
Epoch 7751/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.1388e-05 - accuracy: 1.0000 - val_loss: 17.6479 - val_accuracy: 0.3476
Epoch 7752/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.0732e-05 - accuracy: 1.0000 - val_loss: 17.6469 - val_accuracy: 0.3474
Epoch 7753/10000
16/16 [==============================] - 1s 38ms/step - loss: 3.0290e-05 - accuracy: 1.0000 - val_loss: 17.6464 - val_accuracy: 0.3475
Epoch 7754/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.9808e-05 - accuracy: 1.0000 - val_loss: 17.6452 - val_accuracy: 0.3476
Epoch 7755/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.9315e-05 - accuracy: 1.0000 - val_loss: 17.6437 - val_accuracy: 0.3479
Epoch 7756/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.8778e-05 - accuracy: 1.0000 - val_loss: 17.6432 - val_accuracy: 0.3477
Epoch 7757/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.8416e-05 - accuracy: 1.0000 - val_loss: 17.6432 - val_accuracy: 0.3476
Epoch 7758/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.8014e-05 - accuracy: 1.0000 - val_loss: 17.6419 - val_accuracy: 0.3476
Epoch 7759/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.7547e-05 - accuracy: 1.0000 - val_loss: 17.6411 - val_accuracy: 0.3480
Epoch 7760/10000
16/16 [==============================] - 1s 42ms/step - loss: 2.7109e-05 - accuracy: 1.0000 - val_loss: 17.6404 - val_accuracy: 0.3479
Epoch 7761/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.6806e-05 - accuracy: 1.0000 - val_loss: 17.6397 - val_accuracy: 0.3481
Epoch 7762/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.6391e-05 - accuracy: 1.0000 - val_loss: 17.6394 - val_accuracy: 0.3481
Epoch 7763/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.6109e-05 - accuracy: 1.0000 - val_loss: 17.6384 - val_accuracy: 0.3478
Epoch 7764/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.5726e-05 - accuracy: 1.0000 - val_loss: 17.6378 - val_accuracy: 0.3481
Epoch 7765/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.5349e-05 - accuracy: 1.0000 - val_loss: 17.6374 - val_accuracy: 0.3481
Epoch 7766/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.5021e-05 - accuracy: 1.0000 - val_loss: 17.6365 - val_accuracy: 0.3484
Epoch 7767/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.4682e-05 - accuracy: 1.0000 - val_loss: 17.6358 - val_accuracy: 0.3484
Epoch 7768/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.4427e-05 - accuracy: 1.0000 - val_loss: 17.6357 - val_accuracy: 0.3486
Epoch 7769/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.4121e-05 - accuracy: 1.0000 - val_loss: 17.6351 - val_accuracy: 0.3485
Epoch 7770/10000
16/16 [==============================] - 1s 42ms/step - loss: 2.3816e-05 - accuracy: 1.0000 - val_loss: 17.6348 - val_accuracy: 0.3486
Epoch 7771/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.3511e-05 - accuracy: 1.0000 - val_loss: 17.6351 - val_accuracy: 0.3486
Epoch 7772/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.3266e-05 - accuracy: 1.0000 - val_loss: 17.6345 - val_accuracy: 0.3487
Epoch 7773/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.2952e-05 - accuracy: 1.0000 - val_loss: 17.6345 - val_accuracy: 0.3487
Epoch 7774/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.2685e-05 - accuracy: 1.0000 - val_loss: 17.6340 - val_accuracy: 0.3488
Epoch 7775/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.2442e-05 - accuracy: 1.0000 - val_loss: 17.6340 - val_accuracy: 0.3490
Epoch 7776/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.2198e-05 - accuracy: 1.0000 - val_loss: 17.6335 - val_accuracy: 0.3489
Epoch 7777/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.1962e-05 - accuracy: 1.0000 - val_loss: 17.6324 - val_accuracy: 0.3490
Epoch 7778/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.1694e-05 - accuracy: 1.0000 - val_loss: 17.6329 - val_accuracy: 0.3490
Epoch 7779/10000
16/16 [==============================] - 1s 38ms/step - loss: 2.1497e-05 - accuracy: 1.0000 - val_loss: 17.6321 - val_accuracy: 0.3490
Epoch 7780/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.1238e-05 - accuracy: 1.0000 - val_loss: 17.6316 - val_accuracy: 0.3492
Epoch 7781/10000
16/16 [==============================] - 1s 38ms/step - loss: 2.1049e-05 - accuracy: 1.0000 - val_loss: 17.6324 - val_accuracy: 0.3490
Epoch 7782/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.0845e-05 - accuracy: 1.0000 - val_loss: 17.6312 - val_accuracy: 0.3492
Epoch 7783/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.0588e-05 - accuracy: 1.0000 - val_loss: 17.6320 - val_accuracy: 0.3494
Epoch 7784/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.0360e-05 - accuracy: 1.0000 - val_loss: 17.6319 - val_accuracy: 0.3493
Epoch 7785/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.0183e-05 - accuracy: 1.0000 - val_loss: 17.6311 - val_accuracy: 0.3493
Epoch 7786/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.0002e-05 - accuracy: 1.0000 - val_loss: 17.6310 - val_accuracy: 0.3492
Epoch 7787/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.9807e-05 - accuracy: 1.0000 - val_loss: 17.6312 - val_accuracy: 0.3495
Epoch 7788/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.9571e-05 - accuracy: 1.0000 - val_loss: 17.6306 - val_accuracy: 0.3492
Epoch 7789/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.9405e-05 - accuracy: 1.0000 - val_loss: 17.6304 - val_accuracy: 0.3492
Epoch 7790/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.9256e-05 - accuracy: 1.0000 - val_loss: 17.6305 - val_accuracy: 0.3494
Epoch 7791/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.9074e-05 - accuracy: 1.0000 - val_loss: 17.6311 - val_accuracy: 0.3495
Epoch 7792/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.8908e-05 - accuracy: 1.0000 - val_loss: 17.6297 - val_accuracy: 0.3495
Epoch 7793/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.8719e-05 - accuracy: 1.0000 - val_loss: 17.6297 - val_accuracy: 0.3493
Epoch 7794/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.8525e-05 - accuracy: 1.0000 - val_loss: 17.6302 - val_accuracy: 0.3494
Epoch 7795/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.8372e-05 - accuracy: 1.0000 - val_loss: 17.6298 - val_accuracy: 0.3495
Epoch 7796/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.8196e-05 - accuracy: 1.0000 - val_loss: 17.6302 - val_accuracy: 0.3494
Epoch 7797/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.8030e-05 - accuracy: 1.0000 - val_loss: 17.6301 - val_accuracy: 0.3494
Epoch 7798/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.7897e-05 - accuracy: 1.0000 - val_loss: 17.6301 - val_accuracy: 0.3495
Epoch 7799/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.7777e-05 - accuracy: 1.0000 - val_loss: 17.6306 - val_accuracy: 0.3495
Epoch 7800/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.7591e-05 - accuracy: 1.0000 - val_loss: 17.6306 - val_accuracy: 0.3496
Epoch 7801/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.7467e-05 - accuracy: 1.0000 - val_loss: 17.6306 - val_accuracy: 0.3497
Epoch 7802/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.7312e-05 - accuracy: 1.0000 - val_loss: 17.6306 - val_accuracy: 0.3496
Epoch 7803/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.7181e-05 - accuracy: 1.0000 - val_loss: 17.6306 - val_accuracy: 0.3497
Epoch 7804/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.7024e-05 - accuracy: 1.0000 - val_loss: 17.6311 - val_accuracy: 0.3497
Epoch 7805/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.6885e-05 - accuracy: 1.0000 - val_loss: 17.6311 - val_accuracy: 0.3496
Epoch 7806/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.6747e-05 - accuracy: 1.0000 - val_loss: 17.6310 - val_accuracy: 0.3496
Epoch 7807/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.6594e-05 - accuracy: 1.0000 - val_loss: 17.6305 - val_accuracy: 0.3497
Epoch 7808/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.6486e-05 - accuracy: 1.0000 - val_loss: 17.6307 - val_accuracy: 0.3498
Epoch 7809/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.6370e-05 - accuracy: 1.0000 - val_loss: 17.6309 - val_accuracy: 0.3497
Epoch 7810/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.6227e-05 - accuracy: 1.0000 - val_loss: 17.6309 - val_accuracy: 0.3499
Epoch 7811/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.6132e-05 - accuracy: 1.0000 - val_loss: 17.6311 - val_accuracy: 0.3497
Epoch 7812/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.5977e-05 - accuracy: 1.0000 - val_loss: 17.6311 - val_accuracy: 0.3495
Epoch 7813/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.5843e-05 - accuracy: 1.0000 - val_loss: 17.6310 - val_accuracy: 0.3495
Epoch 7814/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.5758e-05 - accuracy: 1.0000 - val_loss: 17.6315 - val_accuracy: 0.3495
Epoch 7815/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.5613e-05 - accuracy: 1.0000 - val_loss: 17.6322 - val_accuracy: 0.3496
Epoch 7816/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.5509e-05 - accuracy: 1.0000 - val_loss: 17.6329 - val_accuracy: 0.3498
Epoch 7817/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.5409e-05 - accuracy: 1.0000 - val_loss: 17.6323 - val_accuracy: 0.3497
Epoch 7818/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.5227e-05 - accuracy: 1.0000 - val_loss: 17.6327 - val_accuracy: 0.3497
Epoch 7819/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.5134e-05 - accuracy: 1.0000 - val_loss: 17.6331 - val_accuracy: 0.3497
Epoch 7820/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.5019e-05 - accuracy: 1.0000 - val_loss: 17.6335 - val_accuracy: 0.3498
Epoch 7821/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.4904e-05 - accuracy: 1.0000 - val_loss: 17.6339 - val_accuracy: 0.3498
Epoch 7822/10000
16/16 [==============================] - 1s 37ms/step - loss: 1.4833e-05 - accuracy: 1.0000 - val_loss: 17.6334 - val_accuracy: 0.3498
Epoch 7823/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.4717e-05 - accuracy: 1.0000 - val_loss: 17.6333 - val_accuracy: 0.3499
Epoch 7824/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.4579e-05 - accuracy: 1.0000 - val_loss: 17.6338 - val_accuracy: 0.3499
Epoch 7825/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.4481e-05 - accuracy: 1.0000 - val_loss: 17.6342 - val_accuracy: 0.3498
Epoch 7826/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.4380e-05 - accuracy: 1.0000 - val_loss: 17.6345 - val_accuracy: 0.3498
Epoch 7827/10000
16/16 [==============================] - 1s 37ms/step - loss: 1.4279e-05 - accuracy: 1.0000 - val_loss: 17.6348 - val_accuracy: 0.3497
Epoch 7828/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.4183e-05 - accuracy: 1.0000 - val_loss: 17.6353 - val_accuracy: 0.3497
Epoch 7829/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.4088e-05 - accuracy: 1.0000 - val_loss: 17.6358 - val_accuracy: 0.3497
Epoch 7830/10000
16/16 [==============================] - 1s 47ms/step - loss: 1.3970e-05 - accuracy: 1.0000 - val_loss: 17.6353 - val_accuracy: 0.3496
Epoch 7831/10000
16/16 [==============================] - 1s 46ms/step - loss: 1.3869e-05 - accuracy: 1.0000 - val_loss: 17.6357 - val_accuracy: 0.3496
Epoch 7832/10000
16/16 [==============================] - 1s 47ms/step - loss: 1.3780e-05 - accuracy: 1.0000 - val_loss: 17.6364 - val_accuracy: 0.3496
Epoch 7833/10000
16/16 [==============================] - 1s 46ms/step - loss: 1.3691e-05 - accuracy: 1.0000 - val_loss: 17.6366 - val_accuracy: 0.3495
Epoch 7834/10000
16/16 [==============================] - 1s 46ms/step - loss: 1.3612e-05 - accuracy: 1.0000 - val_loss: 17.6363 - val_accuracy: 0.3498
Epoch 7835/10000
16/16 [==============================] - 1s 47ms/step - loss: 1.3519e-05 - accuracy: 1.0000 - val_loss: 17.6364 - val_accuracy: 0.3497
Epoch 7836/10000
16/16 [==============================] - 1s 47ms/step - loss: 1.3399e-05 - accuracy: 1.0000 - val_loss: 17.6372 - val_accuracy: 0.3498
Epoch 7837/10000
16/16 [==============================] - 1s 48ms/step - loss: 1.3322e-05 - accuracy: 1.0000 - val_loss: 17.6380 - val_accuracy: 0.3496
Epoch 7838/10000
16/16 [==============================] - 1s 48ms/step - loss: 1.3231e-05 - accuracy: 1.0000 - val_loss: 17.6388 - val_accuracy: 0.3497
Epoch 7839/10000
16/16 [==============================] - 1s 47ms/step - loss: 1.3157e-05 - accuracy: 1.0000 - val_loss: 17.6382 - val_accuracy: 0.3497
Epoch 7840/10000
16/16 [==============================] - 1s 47ms/step - loss: 1.3040e-05 - accuracy: 1.0000 - val_loss: 17.6388 - val_accuracy: 0.3498
Epoch 7841/10000
16/16 [==============================] - 1s 46ms/step - loss: 1.2968e-05 - accuracy: 1.0000 - val_loss: 17.6388 - val_accuracy: 0.3497
Epoch 7842/10000
16/16 [==============================] - 1s 46ms/step - loss: 1.2872e-05 - accuracy: 1.0000 - val_loss: 17.6394 - val_accuracy: 0.3498
Epoch 7843/10000
16/16 [==============================] - 1s 45ms/step - loss: 1.2805e-05 - accuracy: 1.0000 - val_loss: 17.6394 - val_accuracy: 0.3499
Epoch 7844/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.2715e-05 - accuracy: 1.0000 - val_loss: 17.6398 - val_accuracy: 0.3500
Epoch 7845/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.2624e-05 - accuracy: 1.0000 - val_loss: 17.6404 - val_accuracy: 0.3500
Epoch 7846/10000
16/16 [==============================] - 1s 43ms/step - loss: 1.2548e-05 - accuracy: 1.0000 - val_loss: 17.6404 - val_accuracy: 0.3500
Epoch 7847/10000
16/16 [==============================] - 1s 44ms/step - loss: 1.2458e-05 - accuracy: 1.0000 - val_loss: 17.6410 - val_accuracy: 0.3501
Epoch 7848/10000
16/16 [==============================] - 1s 44ms/step - loss: 1.2389e-05 - accuracy: 1.0000 - val_loss: 17.6410 - val_accuracy: 0.3500
Epoch 7849/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.2312e-05 - accuracy: 1.0000 - val_loss: 17.6416 - val_accuracy: 0.3501
Epoch 7850/10000
16/16 [==============================] - 1s 44ms/step - loss: 1.2225e-05 - accuracy: 1.0000 - val_loss: 17.6420 - val_accuracy: 0.3501
Epoch 7851/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.2169e-05 - accuracy: 1.0000 - val_loss: 17.6425 - val_accuracy: 0.3500
Epoch 7852/10000
16/16 [==============================] - 1s 43ms/step - loss: 1.2074e-05 - accuracy: 1.0000 - val_loss: 17.6424 - val_accuracy: 0.3502
Epoch 7853/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.1997e-05 - accuracy: 1.0000 - val_loss: 17.6421 - val_accuracy: 0.3502
Epoch 7854/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.1922e-05 - accuracy: 1.0000 - val_loss: 17.6430 - val_accuracy: 0.3501
Epoch 7855/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.1831e-05 - accuracy: 1.0000 - val_loss: 17.6431 - val_accuracy: 0.3500
Epoch 7856/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.1760e-05 - accuracy: 1.0000 - val_loss: 17.6435 - val_accuracy: 0.3499
Epoch 7857/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.1689e-05 - accuracy: 1.0000 - val_loss: 17.6439 - val_accuracy: 0.3497
Epoch 7858/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.1628e-05 - accuracy: 1.0000 - val_loss: 17.6447 - val_accuracy: 0.3497
Epoch 7859/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.1553e-05 - accuracy: 1.0000 - val_loss: 17.6442 - val_accuracy: 0.3499
Epoch 7860/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.1513e-05 - accuracy: 1.0000 - val_loss: 17.6455 - val_accuracy: 0.3497
Epoch 7861/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.1406e-05 - accuracy: 1.0000 - val_loss: 17.6452 - val_accuracy: 0.3499
Epoch 7862/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.1343e-05 - accuracy: 1.0000 - val_loss: 17.6452 - val_accuracy: 0.3499
Epoch 7863/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.1263e-05 - accuracy: 1.0000 - val_loss: 17.6460 - val_accuracy: 0.3500
Epoch 7864/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.1210e-05 - accuracy: 1.0000 - val_loss: 17.6468 - val_accuracy: 0.3500
Epoch 7865/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.1133e-05 - accuracy: 1.0000 - val_loss: 17.6469 - val_accuracy: 0.3501
Epoch 7866/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.1059e-05 - accuracy: 1.0000 - val_loss: 17.6474 - val_accuracy: 0.3501
Epoch 7867/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.1019e-05 - accuracy: 1.0000 - val_loss: 17.6470 - val_accuracy: 0.3501
Epoch 7868/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0927e-05 - accuracy: 1.0000 - val_loss: 17.6478 - val_accuracy: 0.3502
Epoch 7869/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0870e-05 - accuracy: 1.0000 - val_loss: 17.6483 - val_accuracy: 0.3502
Epoch 7870/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0809e-05 - accuracy: 1.0000 - val_loss: 17.6494 - val_accuracy: 0.3502
Epoch 7871/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0726e-05 - accuracy: 1.0000 - val_loss: 17.6490 - val_accuracy: 0.3500
Epoch 7872/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0664e-05 - accuracy: 1.0000 - val_loss: 17.6498 - val_accuracy: 0.3501
Epoch 7873/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0593e-05 - accuracy: 1.0000 - val_loss: 17.6503 - val_accuracy: 0.3500
Epoch 7874/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.0555e-05 - accuracy: 1.0000 - val_loss: 17.6500 - val_accuracy: 0.3500
Epoch 7875/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0475e-05 - accuracy: 1.0000 - val_loss: 17.6500 - val_accuracy: 0.3501
Epoch 7876/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.0406e-05 - accuracy: 1.0000 - val_loss: 17.6504 - val_accuracy: 0.3502
Epoch 7877/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.0366e-05 - accuracy: 1.0000 - val_loss: 17.6520 - val_accuracy: 0.3500
Epoch 7878/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0292e-05 - accuracy: 1.0000 - val_loss: 17.6517 - val_accuracy: 0.3503
Epoch 7879/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0241e-05 - accuracy: 1.0000 - val_loss: 17.6528 - val_accuracy: 0.3503
Epoch 7880/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0176e-05 - accuracy: 1.0000 - val_loss: 17.6524 - val_accuracy: 0.3503
Epoch 7881/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0107e-05 - accuracy: 1.0000 - val_loss: 17.6530 - val_accuracy: 0.3504
Epoch 7882/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.0051e-05 - accuracy: 1.0000 - val_loss: 17.6538 - val_accuracy: 0.3504
Epoch 7883/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.9889e-06 - accuracy: 1.0000 - val_loss: 17.6546 - val_accuracy: 0.3504
Epoch 7884/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.9443e-06 - accuracy: 1.0000 - val_loss: 17.6539 - val_accuracy: 0.3503
Epoch 7885/10000
16/16 [==============================] - 1s 41ms/step - loss: 9.8623e-06 - accuracy: 1.0000 - val_loss: 17.6547 - val_accuracy: 0.3503
Epoch 7886/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.7953e-06 - accuracy: 1.0000 - val_loss: 17.6555 - val_accuracy: 0.3504
Epoch 7887/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.7605e-06 - accuracy: 1.0000 - val_loss: 17.6555 - val_accuracy: 0.3502
Epoch 7888/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.7016e-06 - accuracy: 1.0000 - val_loss: 17.6554 - val_accuracy: 0.3502
Epoch 7889/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.6325e-06 - accuracy: 1.0000 - val_loss: 17.6562 - val_accuracy: 0.3502
Epoch 7890/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.5781e-06 - accuracy: 1.0000 - val_loss: 17.6567 - val_accuracy: 0.3501
Epoch 7891/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.5419e-06 - accuracy: 1.0000 - val_loss: 17.6576 - val_accuracy: 0.3501
Epoch 7892/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.4783e-06 - accuracy: 1.0000 - val_loss: 17.6575 - val_accuracy: 0.3501
Epoch 7893/10000
16/16 [==============================] - 1s 42ms/step - loss: 9.4120e-06 - accuracy: 1.0000 - val_loss: 17.6581 - val_accuracy: 0.3501
Epoch 7894/10000
16/16 [==============================] - 1s 41ms/step - loss: 9.3672e-06 - accuracy: 1.0000 - val_loss: 17.6593 - val_accuracy: 0.3502
Epoch 7895/10000
16/16 [==============================] - 1s 41ms/step - loss: 9.3047e-06 - accuracy: 1.0000 - val_loss: 17.6602 - val_accuracy: 0.3501
Epoch 7896/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.2535e-06 - accuracy: 1.0000 - val_loss: 17.6603 - val_accuracy: 0.3500
Epoch 7897/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.2041e-06 - accuracy: 1.0000 - val_loss: 17.6604 - val_accuracy: 0.3499
Epoch 7898/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.1336e-06 - accuracy: 1.0000 - val_loss: 17.6610 - val_accuracy: 0.3499
Epoch 7899/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.1152e-06 - accuracy: 1.0000 - val_loss: 17.6624 - val_accuracy: 0.3501
Epoch 7900/10000
16/16 [==============================] - 1s 41ms/step - loss: 9.0511e-06 - accuracy: 1.0000 - val_loss: 17.6616 - val_accuracy: 0.3500
Epoch 7901/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.9951e-06 - accuracy: 1.0000 - val_loss: 17.6623 - val_accuracy: 0.3500
Epoch 7902/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.9271e-06 - accuracy: 1.0000 - val_loss: 17.6627 - val_accuracy: 0.3499
Epoch 7903/10000
16/16 [==============================] - 1s 41ms/step - loss: 8.8895e-06 - accuracy: 1.0000 - val_loss: 17.6637 - val_accuracy: 0.3501
Epoch 7904/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.8353e-06 - accuracy: 1.0000 - val_loss: 17.6641 - val_accuracy: 0.3500
Epoch 7905/10000
16/16 [==============================] - 1s 38ms/step - loss: 8.7686e-06 - accuracy: 1.0000 - val_loss: 17.6641 - val_accuracy: 0.3500
Epoch 7906/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.7317e-06 - accuracy: 1.0000 - val_loss: 17.6645 - val_accuracy: 0.3501
Epoch 7907/10000
16/16 [==============================] - 1s 38ms/step - loss: 8.6778e-06 - accuracy: 1.0000 - val_loss: 17.6651 - val_accuracy: 0.3501
Epoch 7908/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.6332e-06 - accuracy: 1.0000 - val_loss: 17.6654 - val_accuracy: 0.3500
Epoch 7909/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.5767e-06 - accuracy: 1.0000 - val_loss: 17.6667 - val_accuracy: 0.3499
Epoch 7910/10000
16/16 [==============================] - 1s 38ms/step - loss: 8.5252e-06 - accuracy: 1.0000 - val_loss: 17.6675 - val_accuracy: 0.3498
Epoch 7911/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.4735e-06 - accuracy: 1.0000 - val_loss: 17.6683 - val_accuracy: 0.3498
Epoch 7912/10000
16/16 [==============================] - 1s 38ms/step - loss: 8.4539e-06 - accuracy: 1.0000 - val_loss: 17.6705 - val_accuracy: 0.3498
Epoch 7913/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.3934e-06 - accuracy: 1.0000 - val_loss: 17.6693 - val_accuracy: 0.3498
Epoch 7914/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.3288e-06 - accuracy: 1.0000 - val_loss: 17.6708 - val_accuracy: 0.3498
Epoch 7915/10000
16/16 [==============================] - 1s 38ms/step - loss: 8.2954e-06 - accuracy: 1.0000 - val_loss: 17.6707 - val_accuracy: 0.3499
Epoch 7916/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.2351e-06 - accuracy: 1.0000 - val_loss: 17.6714 - val_accuracy: 0.3499
Epoch 7917/10000
16/16 [==============================] - 1s 38ms/step - loss: 8.2001e-06 - accuracy: 1.0000 - val_loss: 17.6722 - val_accuracy: 0.3500
Epoch 7918/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.1393e-06 - accuracy: 1.0000 - val_loss: 17.6724 - val_accuracy: 0.3500
Epoch 7919/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.0911e-06 - accuracy: 1.0000 - val_loss: 17.6730 - val_accuracy: 0.3499
Epoch 7920/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.0496e-06 - accuracy: 1.0000 - val_loss: 17.6732 - val_accuracy: 0.3501
Epoch 7921/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.0027e-06 - accuracy: 1.0000 - val_loss: 17.6737 - val_accuracy: 0.3501
Epoch 7922/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.9638e-06 - accuracy: 1.0000 - val_loss: 17.6737 - val_accuracy: 0.3502
Epoch 7923/10000
16/16 [==============================] - 1s 38ms/step - loss: 7.9247e-06 - accuracy: 1.0000 - val_loss: 17.6747 - val_accuracy: 0.3501
Epoch 7924/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.8821e-06 - accuracy: 1.0000 - val_loss: 17.6761 - val_accuracy: 0.3502
Epoch 7925/10000
16/16 [==============================] - 1s 38ms/step - loss: 7.8301e-06 - accuracy: 1.0000 - val_loss: 17.6762 - val_accuracy: 0.3501
Epoch 7926/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.7838e-06 - accuracy: 1.0000 - val_loss: 17.6763 - val_accuracy: 0.3503
Epoch 7927/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.7324e-06 - accuracy: 1.0000 - val_loss: 17.6783 - val_accuracy: 0.3500
Epoch 7928/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.6987e-06 - accuracy: 1.0000 - val_loss: 17.6789 - val_accuracy: 0.3501
Epoch 7929/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.6499e-06 - accuracy: 1.0000 - val_loss: 17.6791 - val_accuracy: 0.3503
Epoch 7930/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.6132e-06 - accuracy: 1.0000 - val_loss: 17.6793 - val_accuracy: 0.3502
Epoch 7931/10000
16/16 [==============================] - 1s 38ms/step - loss: 7.5726e-06 - accuracy: 1.0000 - val_loss: 17.6799 - val_accuracy: 0.3505
Epoch 7932/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.5285e-06 - accuracy: 1.0000 - val_loss: 17.6810 - val_accuracy: 0.3503
Epoch 7933/10000
16/16 [==============================] - 1s 38ms/step - loss: 7.4916e-06 - accuracy: 1.0000 - val_loss: 17.6817 - val_accuracy: 0.3505
Epoch 7934/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.4515e-06 - accuracy: 1.0000 - val_loss: 17.6822 - val_accuracy: 0.3504
Epoch 7935/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.4062e-06 - accuracy: 1.0000 - val_loss: 17.6829 - val_accuracy: 0.3505
Epoch 7936/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.3686e-06 - accuracy: 1.0000 - val_loss: 17.6841 - val_accuracy: 0.3505
Epoch 7937/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.3309e-06 - accuracy: 1.0000 - val_loss: 17.6843 - val_accuracy: 0.3503
Epoch 7938/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.2894e-06 - accuracy: 1.0000 - val_loss: 17.6845 - val_accuracy: 0.3504
Epoch 7939/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.2470e-06 - accuracy: 1.0000 - val_loss: 17.6850 - val_accuracy: 0.3505
Epoch 7940/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.2091e-06 - accuracy: 1.0000 - val_loss: 17.6858 - val_accuracy: 0.3504
Epoch 7941/10000
16/16 [==============================] - 1s 38ms/step - loss: 7.1795e-06 - accuracy: 1.0000 - val_loss: 17.6860 - val_accuracy: 0.3504
Epoch 7942/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.1364e-06 - accuracy: 1.0000 - val_loss: 17.6872 - val_accuracy: 0.3505
Epoch 7943/10000
16/16 [==============================] - 1s 38ms/step - loss: 7.0966e-06 - accuracy: 1.0000 - val_loss: 17.6873 - val_accuracy: 0.3505
Epoch 7944/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.0529e-06 - accuracy: 1.0000 - val_loss: 17.6874 - val_accuracy: 0.3505
Epoch 7945/10000
16/16 [==============================] - 1s 38ms/step - loss: 7.0172e-06 - accuracy: 1.0000 - val_loss: 17.6886 - val_accuracy: 0.3505
Epoch 7946/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.9738e-06 - accuracy: 1.0000 - val_loss: 17.6891 - val_accuracy: 0.3506
Epoch 7947/10000
16/16 [==============================] - 1s 38ms/step - loss: 6.9311e-06 - accuracy: 1.0000 - val_loss: 17.6899 - val_accuracy: 0.3506
Epoch 7948/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.9059e-06 - accuracy: 1.0000 - val_loss: 17.6910 - val_accuracy: 0.3507
Epoch 7949/10000
16/16 [==============================] - 1s 38ms/step - loss: 6.8625e-06 - accuracy: 1.0000 - val_loss: 17.6912 - val_accuracy: 0.3507
Epoch 7950/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.8243e-06 - accuracy: 1.0000 - val_loss: 17.6912 - val_accuracy: 0.3508
Epoch 7951/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.7941e-06 - accuracy: 1.0000 - val_loss: 17.6927 - val_accuracy: 0.3507
Epoch 7952/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.7423e-06 - accuracy: 1.0000 - val_loss: 17.6936 - val_accuracy: 0.3508
Epoch 7953/10000
16/16 [==============================] - 1s 38ms/step - loss: 6.7230e-06 - accuracy: 1.0000 - val_loss: 17.6935 - val_accuracy: 0.3507
Epoch 7954/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.6849e-06 - accuracy: 1.0000 - val_loss: 17.6947 - val_accuracy: 0.3508
Epoch 7955/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.6477e-06 - accuracy: 1.0000 - val_loss: 17.6959 - val_accuracy: 0.3509
Epoch 7956/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.6086e-06 - accuracy: 1.0000 - val_loss: 17.6966 - val_accuracy: 0.3509
Epoch 7957/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.5690e-06 - accuracy: 1.0000 - val_loss: 17.6974 - val_accuracy: 0.3509
Epoch 7958/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.5364e-06 - accuracy: 1.0000 - val_loss: 17.6976 - val_accuracy: 0.3510
Epoch 7959/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.5056e-06 - accuracy: 1.0000 - val_loss: 17.6984 - val_accuracy: 0.3509
Epoch 7960/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.4563e-06 - accuracy: 1.0000 - val_loss: 17.6988 - val_accuracy: 0.3510
Epoch 7961/10000
16/16 [==============================] - 1s 38ms/step - loss: 6.4281e-06 - accuracy: 1.0000 - val_loss: 17.6993 - val_accuracy: 0.3510
Epoch 7962/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.4055e-06 - accuracy: 1.0000 - val_loss: 17.6997 - val_accuracy: 0.3508
Epoch 7963/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.3692e-06 - accuracy: 1.0000 - val_loss: 17.7007 - val_accuracy: 0.3508
Epoch 7964/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.3223e-06 - accuracy: 1.0000 - val_loss: 17.7015 - val_accuracy: 0.3508
Epoch 7965/10000
16/16 [==============================] - 1s 38ms/step - loss: 6.2946e-06 - accuracy: 1.0000 - val_loss: 17.7017 - val_accuracy: 0.3509
Epoch 7966/10000
16/16 [==============================] - 1s 38ms/step - loss: 6.2622e-06 - accuracy: 1.0000 - val_loss: 17.7046 - val_accuracy: 0.3509
Epoch 7967/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.2217e-06 - accuracy: 1.0000 - val_loss: 17.7066 - val_accuracy: 0.3508
Epoch 7968/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.2007e-06 - accuracy: 1.0000 - val_loss: 17.7056 - val_accuracy: 0.3508
Epoch 7969/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.1421e-06 - accuracy: 1.0000 - val_loss: 17.7074 - val_accuracy: 0.3509
Epoch 7970/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.1084e-06 - accuracy: 1.0000 - val_loss: 17.7083 - val_accuracy: 0.3509
Epoch 7971/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.0782e-06 - accuracy: 1.0000 - val_loss: 17.7097 - val_accuracy: 0.3509
Epoch 7972/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.0372e-06 - accuracy: 1.0000 - val_loss: 17.7107 - val_accuracy: 0.3509
Epoch 7973/10000
16/16 [==============================] - 1s 38ms/step - loss: 6.0145e-06 - accuracy: 1.0000 - val_loss: 17.7110 - val_accuracy: 0.3509
Epoch 7974/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.9816e-06 - accuracy: 1.0000 - val_loss: 17.7125 - val_accuracy: 0.3509
Epoch 7975/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.9478e-06 - accuracy: 1.0000 - val_loss: 17.7127 - val_accuracy: 0.3509
Epoch 7976/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.9213e-06 - accuracy: 1.0000 - val_loss: 17.7131 - val_accuracy: 0.3509
Epoch 7977/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.8913e-06 - accuracy: 1.0000 - val_loss: 17.7133 - val_accuracy: 0.3509
Epoch 7978/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.8567e-06 - accuracy: 1.0000 - val_loss: 17.7138 - val_accuracy: 0.3509
Epoch 7979/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.8171e-06 - accuracy: 1.0000 - val_loss: 17.7153 - val_accuracy: 0.3509
Epoch 7980/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.7926e-06 - accuracy: 1.0000 - val_loss: 17.7165 - val_accuracy: 0.3509
Epoch 7981/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.7649e-06 - accuracy: 1.0000 - val_loss: 17.7164 - val_accuracy: 0.3509
Epoch 7982/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.7265e-06 - accuracy: 1.0000 - val_loss: 17.7182 - val_accuracy: 0.3509
Epoch 7983/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.6991e-06 - accuracy: 1.0000 - val_loss: 17.7186 - val_accuracy: 0.3509
Epoch 7984/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.6655e-06 - accuracy: 1.0000 - val_loss: 17.7193 - val_accuracy: 0.3509
Epoch 7985/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.6345e-06 - accuracy: 1.0000 - val_loss: 17.7208 - val_accuracy: 0.3509
Epoch 7986/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.6014e-06 - accuracy: 1.0000 - val_loss: 17.7210 - val_accuracy: 0.3509
Epoch 7987/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.5733e-06 - accuracy: 1.0000 - val_loss: 17.7219 - val_accuracy: 0.3511
Epoch 7988/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.5435e-06 - accuracy: 1.0000 - val_loss: 17.7228 - val_accuracy: 0.3508
Epoch 7989/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.5067e-06 - accuracy: 1.0000 - val_loss: 17.7242 - val_accuracy: 0.3511
Epoch 7990/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.4886e-06 - accuracy: 1.0000 - val_loss: 17.7237 - val_accuracy: 0.3511
Epoch 7991/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.4448e-06 - accuracy: 1.0000 - val_loss: 17.7260 - val_accuracy: 0.3509
Epoch 7992/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.4185e-06 - accuracy: 1.0000 - val_loss: 17.7271 - val_accuracy: 0.3510
Epoch 7993/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.3914e-06 - accuracy: 1.0000 - val_loss: 17.7281 - val_accuracy: 0.3509
Epoch 7994/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.3632e-06 - accuracy: 1.0000 - val_loss: 17.7291 - val_accuracy: 0.3510
Epoch 7995/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.3389e-06 - accuracy: 1.0000 - val_loss: 17.7306 - val_accuracy: 0.3508
Epoch 7996/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.3003e-06 - accuracy: 1.0000 - val_loss: 17.7310 - val_accuracy: 0.3509
Epoch 7997/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.2755e-06 - accuracy: 1.0000 - val_loss: 17.7326 - val_accuracy: 0.3510
Epoch 7998/10000
16/16 [==============================] - 1s 38ms/step - loss: 5.2443e-06 - accuracy: 1.0000 - val_loss: 17.7339 - val_accuracy: 0.3510
Epoch 7999/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.2114e-06 - accuracy: 1.0000 - val_loss: 17.7344 - val_accuracy: 0.3509
Epoch 8000/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.1789e-06 - accuracy: 1.0000 - val_loss: 17.7343 - val_accuracy: 0.3508
Epoch 8001/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.1539e-06 - accuracy: 1.0000 - val_loss: 17.7358 - val_accuracy: 0.3511
Epoch 8002/10000
16/16 [==============================] - 1s 38ms/step - loss: 5.1229e-06 - accuracy: 1.0000 - val_loss: 17.7368 - val_accuracy: 0.3511
Epoch 8003/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.0867e-06 - accuracy: 1.0000 - val_loss: 17.7385 - val_accuracy: 0.3512
Epoch 8004/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.0695e-06 - accuracy: 1.0000 - val_loss: 17.7394 - val_accuracy: 0.3511
Epoch 8005/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.0354e-06 - accuracy: 1.0000 - val_loss: 17.7401 - val_accuracy: 0.3512
Epoch 8006/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.0066e-06 - accuracy: 1.0000 - val_loss: 17.7414 - val_accuracy: 0.3512
Epoch 8007/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.9837e-06 - accuracy: 1.0000 - val_loss: 17.7433 - val_accuracy: 0.3513
Epoch 8008/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.9501e-06 - accuracy: 1.0000 - val_loss: 17.7431 - val_accuracy: 0.3513
Epoch 8009/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.9146e-06 - accuracy: 1.0000 - val_loss: 17.7442 - val_accuracy: 0.3513
Epoch 8010/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.8967e-06 - accuracy: 1.0000 - val_loss: 17.7458 - val_accuracy: 0.3515
Epoch 8011/10000
16/16 [==============================] - 1s 41ms/step - loss: 4.8686e-06 - accuracy: 1.0000 - val_loss: 17.7475 - val_accuracy: 0.3515
Epoch 8012/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.8409e-06 - accuracy: 1.0000 - val_loss: 17.7490 - val_accuracy: 0.3514
Epoch 8013/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.8097e-06 - accuracy: 1.0000 - val_loss: 17.7488 - val_accuracy: 0.3513
Epoch 8014/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.7994e-06 - accuracy: 1.0000 - val_loss: 17.7517 - val_accuracy: 0.3514
Epoch 8015/10000
16/16 [==============================] - 1s 41ms/step - loss: 4.7534e-06 - accuracy: 1.0000 - val_loss: 17.7530 - val_accuracy: 0.3512
Epoch 8016/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.7265e-06 - accuracy: 1.0000 - val_loss: 17.7541 - val_accuracy: 0.3511
Epoch 8017/10000
16/16 [==============================] - 1s 41ms/step - loss: 4.6995e-06 - accuracy: 1.0000 - val_loss: 17.7551 - val_accuracy: 0.3513
Epoch 8018/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.6738e-06 - accuracy: 1.0000 - val_loss: 17.7559 - val_accuracy: 0.3513
Epoch 8019/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.6495e-06 - accuracy: 1.0000 - val_loss: 17.7564 - val_accuracy: 0.3514
Epoch 8020/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.6259e-06 - accuracy: 1.0000 - val_loss: 17.7581 - val_accuracy: 0.3513
Epoch 8021/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.6027e-06 - accuracy: 1.0000 - val_loss: 17.7584 - val_accuracy: 0.3513
Epoch 8022/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.5696e-06 - accuracy: 1.0000 - val_loss: 17.7598 - val_accuracy: 0.3513
Epoch 8023/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.5436e-06 - accuracy: 1.0000 - val_loss: 17.7606 - val_accuracy: 0.3513
Epoch 8024/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.5195e-06 - accuracy: 1.0000 - val_loss: 17.7625 - val_accuracy: 0.3513
Epoch 8025/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.4919e-06 - accuracy: 1.0000 - val_loss: 17.7633 - val_accuracy: 0.3513
Epoch 8026/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.4671e-06 - accuracy: 1.0000 - val_loss: 17.7632 - val_accuracy: 0.3514
Epoch 8027/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.4435e-06 - accuracy: 1.0000 - val_loss: 17.7642 - val_accuracy: 0.3514
Epoch 8028/10000
16/16 [==============================] - 1s 38ms/step - loss: 4.4213e-06 - accuracy: 1.0000 - val_loss: 17.7650 - val_accuracy: 0.3514
Epoch 8029/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.3946e-06 - accuracy: 1.0000 - val_loss: 17.7660 - val_accuracy: 0.3513
Epoch 8030/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.3743e-06 - accuracy: 1.0000 - val_loss: 17.7667 - val_accuracy: 0.3514
Epoch 8031/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.3486e-06 - accuracy: 1.0000 - val_loss: 17.7692 - val_accuracy: 0.3514
Epoch 8032/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.3274e-06 - accuracy: 1.0000 - val_loss: 17.7714 - val_accuracy: 0.3515
Epoch 8033/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.3009e-06 - accuracy: 1.0000 - val_loss: 17.7705 - val_accuracy: 0.3516
Epoch 8034/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.2664e-06 - accuracy: 1.0000 - val_loss: 17.7719 - val_accuracy: 0.3517
Epoch 8035/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.2461e-06 - accuracy: 1.0000 - val_loss: 17.7726 - val_accuracy: 0.3516
Epoch 8036/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.2325e-06 - accuracy: 1.0000 - val_loss: 17.7728 - val_accuracy: 0.3518
Epoch 8037/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.1977e-06 - accuracy: 1.0000 - val_loss: 17.7748 - val_accuracy: 0.3518
Epoch 8038/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.1820e-06 - accuracy: 1.0000 - val_loss: 17.7768 - val_accuracy: 0.3518
Epoch 8039/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.1603e-06 - accuracy: 1.0000 - val_loss: 17.7763 - val_accuracy: 0.3519
Epoch 8040/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.1419e-06 - accuracy: 1.0000 - val_loss: 17.7788 - val_accuracy: 0.3521
Epoch 8041/10000
16/16 [==============================] - 1s 41ms/step - loss: 4.1112e-06 - accuracy: 1.0000 - val_loss: 17.7787 - val_accuracy: 0.3518
Epoch 8042/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.0866e-06 - accuracy: 1.0000 - val_loss: 17.7807 - val_accuracy: 0.3519
Epoch 8043/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.0678e-06 - accuracy: 1.0000 - val_loss: 17.7817 - val_accuracy: 0.3518
Epoch 8044/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.0392e-06 - accuracy: 1.0000 - val_loss: 17.7831 - val_accuracy: 0.3518
Epoch 8045/10000
16/16 [==============================] - 1s 38ms/step - loss: 4.0167e-06 - accuracy: 1.0000 - val_loss: 17.7845 - val_accuracy: 0.3517
Epoch 8046/10000
16/16 [==============================] - 1s 41ms/step - loss: 3.9996e-06 - accuracy: 1.0000 - val_loss: 17.7854 - val_accuracy: 0.3519
Epoch 8047/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.9703e-06 - accuracy: 1.0000 - val_loss: 17.7869 - val_accuracy: 0.3519
Epoch 8048/10000
16/16 [==============================] - 1s 38ms/step - loss: 3.9507e-06 - accuracy: 1.0000 - val_loss: 17.7884 - val_accuracy: 0.3521
Epoch 8049/10000
16/16 [==============================] - 1s 38ms/step - loss: 3.9297e-06 - accuracy: 1.0000 - val_loss: 17.7899 - val_accuracy: 0.3520
Epoch 8050/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.9114e-06 - accuracy: 1.0000 - val_loss: 17.7899 - val_accuracy: 0.3521
Epoch 8051/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.8897e-06 - accuracy: 1.0000 - val_loss: 17.7915 - val_accuracy: 0.3521
Epoch 8052/10000
16/16 [==============================] - 1s 38ms/step - loss: 3.8687e-06 - accuracy: 1.0000 - val_loss: 17.7924 - val_accuracy: 0.3520
Epoch 8053/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.8396e-06 - accuracy: 1.0000 - val_loss: 17.7939 - val_accuracy: 0.3520
Epoch 8054/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.8196e-06 - accuracy: 1.0000 - val_loss: 17.7951 - val_accuracy: 0.3521
Epoch 8055/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.7960e-06 - accuracy: 1.0000 - val_loss: 17.7961 - val_accuracy: 0.3521
Epoch 8056/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.7834e-06 - accuracy: 1.0000 - val_loss: 17.7964 - val_accuracy: 0.3520
Epoch 8057/10000
16/16 [==============================] - 1s 38ms/step - loss: 3.7640e-06 - accuracy: 1.0000 - val_loss: 17.7987 - val_accuracy: 0.3520
Epoch 8058/10000
16/16 [==============================] - 1s 41ms/step - loss: 3.7414e-06 - accuracy: 1.0000 - val_loss: 17.8004 - val_accuracy: 0.3519
Epoch 8059/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.7228e-06 - accuracy: 1.0000 - val_loss: 17.8010 - val_accuracy: 0.3520
Epoch 8060/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.6923e-06 - accuracy: 1.0000 - val_loss: 17.8031 - val_accuracy: 0.3520
Epoch 8061/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.6727e-06 - accuracy: 1.0000 - val_loss: 17.8043 - val_accuracy: 0.3519
Epoch 8062/10000
16/16 [==============================] - 1s 38ms/step - loss: 3.6565e-06 - accuracy: 1.0000 - val_loss: 17.8064 - val_accuracy: 0.3519
Epoch 8063/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.6413e-06 - accuracy: 1.0000 - val_loss: 17.8056 - val_accuracy: 0.3518
Epoch 8064/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.6110e-06 - accuracy: 1.0000 - val_loss: 17.8069 - val_accuracy: 0.3519
Epoch 8065/10000
16/16 [==============================] - 1s 38ms/step - loss: 3.5922e-06 - accuracy: 1.0000 - val_loss: 17.8092 - val_accuracy: 0.3517
Epoch 8066/10000
16/16 [==============================] - 1s 38ms/step - loss: 3.5836e-06 - accuracy: 1.0000 - val_loss: 17.8085 - val_accuracy: 0.3517
Epoch 8067/10000
16/16 [==============================] - 1s 38ms/step - loss: 3.5509e-06 - accuracy: 1.0000 - val_loss: 17.8102 - val_accuracy: 0.3517
Epoch 8068/10000
16/16 [==============================] - 1s 38ms/step - loss: 3.5368e-06 - accuracy: 1.0000 - val_loss: 17.8121 - val_accuracy: 0.3518
Epoch 8069/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.5135e-06 - accuracy: 1.0000 - val_loss: 17.8114 - val_accuracy: 0.3518
Epoch 8070/10000
16/16 [==============================] - 1s 38ms/step - loss: 3.4958e-06 - accuracy: 1.0000 - val_loss: 17.8144 - val_accuracy: 0.3518
Epoch 8071/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.4739e-06 - accuracy: 1.0000 - val_loss: 17.8162 - val_accuracy: 0.3516
Epoch 8072/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.4558e-06 - accuracy: 1.0000 - val_loss: 17.8160 - val_accuracy: 0.3515
Epoch 8073/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.4377e-06 - accuracy: 1.0000 - val_loss: 17.8194 - val_accuracy: 0.3516
Epoch 8074/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.4179e-06 - accuracy: 1.0000 - val_loss: 17.8210 - val_accuracy: 0.3515
Epoch 8075/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.3919e-06 - accuracy: 1.0000 - val_loss: 17.8219 - val_accuracy: 0.3516
Epoch 8076/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.3795e-06 - accuracy: 1.0000 - val_loss: 17.8227 - val_accuracy: 0.3517
Epoch 8077/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.3595e-06 - accuracy: 1.0000 - val_loss: 17.8228 - val_accuracy: 0.3517
Epoch 8078/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.3495e-06 - accuracy: 1.0000 - val_loss: 17.8245 - val_accuracy: 0.3517
Epoch 8079/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.3249e-06 - accuracy: 1.0000 - val_loss: 17.8251 - val_accuracy: 0.3516
Epoch 8080/10000
16/16 [==============================] - 1s 41ms/step - loss: 3.3106e-06 - accuracy: 1.0000 - val_loss: 17.8274 - val_accuracy: 0.3517
Epoch 8081/10000
16/16 [==============================] - 1s 41ms/step - loss: 3.2879e-06 - accuracy: 1.0000 - val_loss: 17.8280 - val_accuracy: 0.3518
Epoch 8082/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.2660e-06 - accuracy: 1.0000 - val_loss: 17.8284 - val_accuracy: 0.3520
Epoch 8083/10000
16/16 [==============================] - 1s 41ms/step - loss: 3.2496e-06 - accuracy: 1.0000 - val_loss: 17.8304 - val_accuracy: 0.3520
Epoch 8084/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.2336e-06 - accuracy: 1.0000 - val_loss: 17.8311 - val_accuracy: 0.3520
Epoch 8085/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.2119e-06 - accuracy: 1.0000 - val_loss: 17.8314 - val_accuracy: 0.3521
Epoch 8086/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.2012e-06 - accuracy: 1.0000 - val_loss: 17.8345 - val_accuracy: 0.3519
Epoch 8087/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.1747e-06 - accuracy: 1.0000 - val_loss: 17.8358 - val_accuracy: 0.3517
Epoch 8088/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.1604e-06 - accuracy: 1.0000 - val_loss: 17.8358 - val_accuracy: 0.3521
Epoch 8089/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.1444e-06 - accuracy: 1.0000 - val_loss: 17.8362 - val_accuracy: 0.3521
Epoch 8090/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.1277e-06 - accuracy: 1.0000 - val_loss: 17.8384 - val_accuracy: 0.3521
Epoch 8091/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.1134e-06 - accuracy: 1.0000 - val_loss: 17.8400 - val_accuracy: 0.3521
Epoch 8092/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.0960e-06 - accuracy: 1.0000 - val_loss: 17.8405 - val_accuracy: 0.3522
Epoch 8093/10000
16/16 [==============================] - 1s 37ms/step - loss: 3.0755e-06 - accuracy: 1.0000 - val_loss: 17.8415 - val_accuracy: 0.3523
Epoch 8094/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.0588e-06 - accuracy: 1.0000 - val_loss: 17.8433 - val_accuracy: 0.3522
Epoch 8095/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.0412e-06 - accuracy: 1.0000 - val_loss: 17.8437 - val_accuracy: 0.3523
Epoch 8096/10000
16/16 [==============================] - 1s 38ms/step - loss: 3.0278e-06 - accuracy: 1.0000 - val_loss: 17.8452 - val_accuracy: 0.3526
Epoch 8097/10000
16/16 [==============================] - 1s 41ms/step - loss: 3.0124e-06 - accuracy: 1.0000 - val_loss: 17.8458 - val_accuracy: 0.3526
Epoch 8098/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.9916e-06 - accuracy: 1.0000 - val_loss: 17.8470 - val_accuracy: 0.3525
Epoch 8099/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.9737e-06 - accuracy: 1.0000 - val_loss: 17.8489 - val_accuracy: 0.3527
Epoch 8100/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.9628e-06 - accuracy: 1.0000 - val_loss: 17.8517 - val_accuracy: 0.3526
Epoch 8101/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.9423e-06 - accuracy: 1.0000 - val_loss: 17.8533 - val_accuracy: 0.3527
Epoch 8102/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.9299e-06 - accuracy: 1.0000 - val_loss: 17.8540 - val_accuracy: 0.3526
Epoch 8103/10000
16/16 [==============================] - 1s 38ms/step - loss: 2.9139e-06 - accuracy: 1.0000 - val_loss: 17.8564 - val_accuracy: 0.3528
Epoch 8104/10000
16/16 [==============================] - 1s 38ms/step - loss: 2.8967e-06 - accuracy: 1.0000 - val_loss: 17.8569 - val_accuracy: 0.3527
Epoch 8105/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.8779e-06 - accuracy: 1.0000 - val_loss: 17.8581 - val_accuracy: 0.3527
Epoch 8106/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.8667e-06 - accuracy: 1.0000 - val_loss: 17.8591 - val_accuracy: 0.3527
Epoch 8107/10000
16/16 [==============================] - 1s 38ms/step - loss: 2.8507e-06 - accuracy: 1.0000 - val_loss: 17.8598 - val_accuracy: 0.3526
Epoch 8108/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.8388e-06 - accuracy: 1.0000 - val_loss: 17.8612 - val_accuracy: 0.3528
Epoch 8109/10000
16/16 [==============================] - 1s 38ms/step - loss: 2.8188e-06 - accuracy: 1.0000 - val_loss: 17.8635 - val_accuracy: 0.3527
Epoch 8110/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.8066e-06 - accuracy: 1.0000 - val_loss: 17.8655 - val_accuracy: 0.3523
Epoch 8111/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.7947e-06 - accuracy: 1.0000 - val_loss: 17.8652 - val_accuracy: 0.3524
Epoch 8112/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.7739e-06 - accuracy: 1.0000 - val_loss: 17.8668 - val_accuracy: 0.3523
Epoch 8113/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.7558e-06 - accuracy: 1.0000 - val_loss: 17.8696 - val_accuracy: 0.3523
Epoch 8114/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.7427e-06 - accuracy: 1.0000 - val_loss: 17.8705 - val_accuracy: 0.3521
Epoch 8115/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.7337e-06 - accuracy: 1.0000 - val_loss: 17.8729 - val_accuracy: 0.3521
Epoch 8116/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.7127e-06 - accuracy: 1.0000 - val_loss: 17.8732 - val_accuracy: 0.3523
Epoch 8117/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.6979e-06 - accuracy: 1.0000 - val_loss: 17.8748 - val_accuracy: 0.3521
Epoch 8118/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.6831e-06 - accuracy: 1.0000 - val_loss: 17.8765 - val_accuracy: 0.3522
Epoch 8119/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.6688e-06 - accuracy: 1.0000 - val_loss: 17.8778 - val_accuracy: 0.3522
Epoch 8120/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.6514e-06 - accuracy: 1.0000 - val_loss: 17.8780 - val_accuracy: 0.3522
Epoch 8121/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.6404e-06 - accuracy: 1.0000 - val_loss: 17.8798 - val_accuracy: 0.3521
Epoch 8122/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.6257e-06 - accuracy: 1.0000 - val_loss: 17.8810 - val_accuracy: 0.3523
Epoch 8123/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.6140e-06 - accuracy: 1.0000 - val_loss: 17.8817 - val_accuracy: 0.3523
Epoch 8124/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.5961e-06 - accuracy: 1.0000 - val_loss: 17.8828 - val_accuracy: 0.3522
Epoch 8125/10000
16/16 [==============================] - 1s 38ms/step - loss: 2.5854e-06 - accuracy: 1.0000 - val_loss: 17.8852 - val_accuracy: 0.3524
Epoch 8126/10000
16/16 [==============================] - 1s 38ms/step - loss: 2.5680e-06 - accuracy: 1.0000 - val_loss: 17.8863 - val_accuracy: 0.3524
Epoch 8127/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.5556e-06 - accuracy: 1.0000 - val_loss: 17.8870 - val_accuracy: 0.3524
Epoch 8128/10000
16/16 [==============================] - 1s 38ms/step - loss: 2.5415e-06 - accuracy: 1.0000 - val_loss: 17.8886 - val_accuracy: 0.3523
Epoch 8129/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.5281e-06 - accuracy: 1.0000 - val_loss: 17.8897 - val_accuracy: 0.3524
Epoch 8130/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.5155e-06 - accuracy: 1.0000 - val_loss: 17.8904 - val_accuracy: 0.3524
Epoch 8131/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.4962e-06 - accuracy: 1.0000 - val_loss: 17.8940 - val_accuracy: 0.3526
Epoch 8132/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.4836e-06 - accuracy: 1.0000 - val_loss: 17.8955 - val_accuracy: 0.3527
Epoch 8133/10000
16/16 [==============================] - 1s 38ms/step - loss: 2.4731e-06 - accuracy: 1.0000 - val_loss: 17.8973 - val_accuracy: 0.3527
Epoch 8134/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.4581e-06 - accuracy: 1.0000 - val_loss: 17.8980 - val_accuracy: 0.3526
Epoch 8135/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.4387e-06 - accuracy: 1.0000 - val_loss: 17.8999 - val_accuracy: 0.3527
Epoch 8136/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.4266e-06 - accuracy: 1.0000 - val_loss: 17.9016 - val_accuracy: 0.3528
Epoch 8137/10000
16/16 [==============================] - 1s 38ms/step - loss: 2.4192e-06 - accuracy: 1.0000 - val_loss: 17.9021 - val_accuracy: 0.3526
Epoch 8138/10000
16/16 [==============================] - 1s 42ms/step - loss: 2.4056e-06 - accuracy: 1.0000 - val_loss: 17.9026 - val_accuracy: 0.3525
Epoch 8139/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.3920e-06 - accuracy: 1.0000 - val_loss: 17.9058 - val_accuracy: 0.3529
Epoch 8140/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.3734e-06 - accuracy: 1.0000 - val_loss: 17.9067 - val_accuracy: 0.3527
Epoch 8141/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.3670e-06 - accuracy: 1.0000 - val_loss: 17.9102 - val_accuracy: 0.3530
Epoch 8142/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.3520e-06 - accuracy: 1.0000 - val_loss: 17.9118 - val_accuracy: 0.3529
Epoch 8143/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.3355e-06 - accuracy: 1.0000 - val_loss: 17.9108 - val_accuracy: 0.3526
Epoch 8144/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.3281e-06 - accuracy: 1.0000 - val_loss: 17.9126 - val_accuracy: 0.3527
Epoch 8145/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.3114e-06 - accuracy: 1.0000 - val_loss: 17.9136 - val_accuracy: 0.3527
Epoch 8146/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.2983e-06 - accuracy: 1.0000 - val_loss: 17.9153 - val_accuracy: 0.3528
Epoch 8147/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.2816e-06 - accuracy: 1.0000 - val_loss: 17.9161 - val_accuracy: 0.3528
Epoch 8148/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.2714e-06 - accuracy: 1.0000 - val_loss: 17.9182 - val_accuracy: 0.3528
Epoch 8149/10000
16/16 [==============================] - 1s 38ms/step - loss: 2.2559e-06 - accuracy: 1.0000 - val_loss: 17.9201 - val_accuracy: 0.3531
Epoch 8150/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.2454e-06 - accuracy: 1.0000 - val_loss: 17.9216 - val_accuracy: 0.3530
Epoch 8151/10000
16/16 [==============================] - 1s 38ms/step - loss: 2.2318e-06 - accuracy: 1.0000 - val_loss: 17.9240 - val_accuracy: 0.3533
Epoch 8152/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.2230e-06 - accuracy: 1.0000 - val_loss: 17.9244 - val_accuracy: 0.3530
Epoch 8153/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.2082e-06 - accuracy: 1.0000 - val_loss: 17.9270 - val_accuracy: 0.3531
Epoch 8154/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.1941e-06 - accuracy: 1.0000 - val_loss: 17.9282 - val_accuracy: 0.3531
Epoch 8155/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.1820e-06 - accuracy: 1.0000 - val_loss: 17.9292 - val_accuracy: 0.3531
Epoch 8156/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.1748e-06 - accuracy: 1.0000 - val_loss: 17.9292 - val_accuracy: 0.3531
Epoch 8157/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.1600e-06 - accuracy: 1.0000 - val_loss: 17.9307 - val_accuracy: 0.3531
Epoch 8158/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.1467e-06 - accuracy: 1.0000 - val_loss: 17.9339 - val_accuracy: 0.3532
Epoch 8159/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.1372e-06 - accuracy: 1.0000 - val_loss: 17.9368 - val_accuracy: 0.3533
Epoch 8160/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.1236e-06 - accuracy: 1.0000 - val_loss: 17.9377 - val_accuracy: 0.3535
Epoch 8161/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.1085e-06 - accuracy: 1.0000 - val_loss: 17.9390 - val_accuracy: 0.3532
Epoch 8162/10000
16/16 [==============================] - 1s 38ms/step - loss: 2.0973e-06 - accuracy: 1.0000 - val_loss: 17.9407 - val_accuracy: 0.3531
Epoch 8163/10000
16/16 [==============================] - 1s 38ms/step - loss: 2.0871e-06 - accuracy: 1.0000 - val_loss: 17.9417 - val_accuracy: 0.3530
Epoch 8164/10000
16/16 [==============================] - 1s 38ms/step - loss: 2.0723e-06 - accuracy: 1.0000 - val_loss: 17.9432 - val_accuracy: 0.3530
Epoch 8165/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.0635e-06 - accuracy: 1.0000 - val_loss: 17.9466 - val_accuracy: 0.3530
Epoch 8166/10000
16/16 [==============================] - 1s 38ms/step - loss: 2.0516e-06 - accuracy: 1.0000 - val_loss: 17.9452 - val_accuracy: 0.3529
Epoch 8167/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.0385e-06 - accuracy: 1.0000 - val_loss: 17.9480 - val_accuracy: 0.3529
Epoch 8168/10000
16/16 [==============================] - 1s 38ms/step - loss: 2.0263e-06 - accuracy: 1.0000 - val_loss: 17.9492 - val_accuracy: 0.3529
Epoch 8169/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.0141e-06 - accuracy: 1.0000 - val_loss: 17.9500 - val_accuracy: 0.3527
Epoch 8170/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.0022e-06 - accuracy: 1.0000 - val_loss: 17.9529 - val_accuracy: 0.3526
Epoch 8171/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.9915e-06 - accuracy: 1.0000 - val_loss: 17.9539 - val_accuracy: 0.3529
Epoch 8172/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.9812e-06 - accuracy: 1.0000 - val_loss: 17.9534 - val_accuracy: 0.3530
Epoch 8173/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.9707e-06 - accuracy: 1.0000 - val_loss: 17.9544 - val_accuracy: 0.3532
Epoch 8174/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.9555e-06 - accuracy: 1.0000 - val_loss: 17.9573 - val_accuracy: 0.3530
Epoch 8175/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.9445e-06 - accuracy: 1.0000 - val_loss: 17.9588 - val_accuracy: 0.3525
Epoch 8176/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.9338e-06 - accuracy: 1.0000 - val_loss: 17.9617 - val_accuracy: 0.3527
Epoch 8177/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.9223e-06 - accuracy: 1.0000 - val_loss: 17.9636 - val_accuracy: 0.3527
Epoch 8178/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.9123e-06 - accuracy: 1.0000 - val_loss: 17.9659 - val_accuracy: 0.3529
Epoch 8179/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.8990e-06 - accuracy: 1.0000 - val_loss: 17.9669 - val_accuracy: 0.3528
Epoch 8180/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.8933e-06 - accuracy: 1.0000 - val_loss: 17.9691 - val_accuracy: 0.3528
Epoch 8181/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.8730e-06 - accuracy: 1.0000 - val_loss: 17.9701 - val_accuracy: 0.3527
Epoch 8182/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.8625e-06 - accuracy: 1.0000 - val_loss: 17.9720 - val_accuracy: 0.3528
Epoch 8183/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.8532e-06 - accuracy: 1.0000 - val_loss: 17.9753 - val_accuracy: 0.3529
Epoch 8184/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.8410e-06 - accuracy: 1.0000 - val_loss: 17.9758 - val_accuracy: 0.3529
Epoch 8185/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.8291e-06 - accuracy: 1.0000 - val_loss: 17.9774 - val_accuracy: 0.3529
Epoch 8186/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.8217e-06 - accuracy: 1.0000 - val_loss: 17.9805 - val_accuracy: 0.3531
Epoch 8187/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.8129e-06 - accuracy: 1.0000 - val_loss: 17.9808 - val_accuracy: 0.3531
Epoch 8188/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.8005e-06 - accuracy: 1.0000 - val_loss: 17.9821 - val_accuracy: 0.3530
Epoch 8189/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.7895e-06 - accuracy: 1.0000 - val_loss: 17.9863 - val_accuracy: 0.3530
Epoch 8190/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.7745e-06 - accuracy: 1.0000 - val_loss: 17.9869 - val_accuracy: 0.3531
Epoch 8191/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.7667e-06 - accuracy: 1.0000 - val_loss: 17.9890 - val_accuracy: 0.3531
Epoch 8192/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.7535e-06 - accuracy: 1.0000 - val_loss: 17.9917 - val_accuracy: 0.3531
Epoch 8193/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.7400e-06 - accuracy: 1.0000 - val_loss: 17.9932 - val_accuracy: 0.3530
Epoch 8194/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.7290e-06 - accuracy: 1.0000 - val_loss: 17.9957 - val_accuracy: 0.3531
Epoch 8195/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.7185e-06 - accuracy: 1.0000 - val_loss: 17.9970 - val_accuracy: 0.3529
Epoch 8196/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.7111e-06 - accuracy: 1.0000 - val_loss: 18.0014 - val_accuracy: 0.3529
Epoch 8197/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.7009e-06 - accuracy: 1.0000 - val_loss: 18.0016 - val_accuracy: 0.3528
Epoch 8198/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.6868e-06 - accuracy: 1.0000 - val_loss: 18.0041 - val_accuracy: 0.3530
Epoch 8199/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.6727e-06 - accuracy: 1.0000 - val_loss: 18.0053 - val_accuracy: 0.3528
Epoch 8200/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.6653e-06 - accuracy: 1.0000 - val_loss: 18.0064 - val_accuracy: 0.3527
Epoch 8201/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.6503e-06 - accuracy: 1.0000 - val_loss: 18.0085 - val_accuracy: 0.3526
Epoch 8202/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.6432e-06 - accuracy: 1.0000 - val_loss: 18.0097 - val_accuracy: 0.3526
Epoch 8203/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.6315e-06 - accuracy: 1.0000 - val_loss: 18.0110 - val_accuracy: 0.3527
Epoch 8204/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.6227e-06 - accuracy: 1.0000 - val_loss: 18.0123 - val_accuracy: 0.3526
Epoch 8205/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.6112e-06 - accuracy: 1.0000 - val_loss: 18.0148 - val_accuracy: 0.3527
Epoch 8206/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.6050e-06 - accuracy: 1.0000 - val_loss: 18.0153 - val_accuracy: 0.3526
Epoch 8207/10000
16/16 [==============================] - 1s 37ms/step - loss: 1.5919e-06 - accuracy: 1.0000 - val_loss: 18.0177 - val_accuracy: 0.3526
Epoch 8208/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.5831e-06 - accuracy: 1.0000 - val_loss: 18.0197 - val_accuracy: 0.3525
Epoch 8209/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.5745e-06 - accuracy: 1.0000 - val_loss: 18.0212 - val_accuracy: 0.3524
Epoch 8210/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.5645e-06 - accuracy: 1.0000 - val_loss: 18.0230 - val_accuracy: 0.3525
Epoch 8211/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.5540e-06 - accuracy: 1.0000 - val_loss: 18.0267 - val_accuracy: 0.3526
Epoch 8212/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.5466e-06 - accuracy: 1.0000 - val_loss: 18.0284 - val_accuracy: 0.3524
Epoch 8213/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.5340e-06 - accuracy: 1.0000 - val_loss: 18.0306 - val_accuracy: 0.3525
Epoch 8214/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.5263e-06 - accuracy: 1.0000 - val_loss: 18.0322 - val_accuracy: 0.3526
Epoch 8215/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.5168e-06 - accuracy: 1.0000 - val_loss: 18.0337 - val_accuracy: 0.3523
Epoch 8216/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.5075e-06 - accuracy: 1.0000 - val_loss: 18.0354 - val_accuracy: 0.3525
Epoch 8217/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.4982e-06 - accuracy: 1.0000 - val_loss: 18.0376 - val_accuracy: 0.3524
Epoch 8218/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.4882e-06 - accuracy: 1.0000 - val_loss: 18.0397 - val_accuracy: 0.3525
Epoch 8219/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.4760e-06 - accuracy: 1.0000 - val_loss: 18.0410 - val_accuracy: 0.3525
Epoch 8220/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.4655e-06 - accuracy: 1.0000 - val_loss: 18.0431 - val_accuracy: 0.3524
Epoch 8221/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.4565e-06 - accuracy: 1.0000 - val_loss: 18.0453 - val_accuracy: 0.3523
Epoch 8222/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.4498e-06 - accuracy: 1.0000 - val_loss: 18.0483 - val_accuracy: 0.3526
Epoch 8223/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.4386e-06 - accuracy: 1.0000 - val_loss: 18.0492 - val_accuracy: 0.3522
Epoch 8224/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.4312e-06 - accuracy: 1.0000 - val_loss: 18.0528 - val_accuracy: 0.3525
Epoch 8225/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.4200e-06 - accuracy: 1.0000 - val_loss: 18.0517 - val_accuracy: 0.3523
Epoch 8226/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.4131e-06 - accuracy: 1.0000 - val_loss: 18.0544 - val_accuracy: 0.3524
Epoch 8227/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.4045e-06 - accuracy: 1.0000 - val_loss: 18.0559 - val_accuracy: 0.3524
Epoch 8228/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.3952e-06 - accuracy: 1.0000 - val_loss: 18.0574 - val_accuracy: 0.3525
Epoch 8229/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.3859e-06 - accuracy: 1.0000 - val_loss: 18.0593 - val_accuracy: 0.3522
Epoch 8230/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.3757e-06 - accuracy: 1.0000 - val_loss: 18.0628 - val_accuracy: 0.3522
Epoch 8231/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.3673e-06 - accuracy: 1.0000 - val_loss: 18.0651 - val_accuracy: 0.3524
Epoch 8232/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.3616e-06 - accuracy: 1.0000 - val_loss: 18.0664 - val_accuracy: 0.3523
Epoch 8233/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.3513e-06 - accuracy: 1.0000 - val_loss: 18.0682 - val_accuracy: 0.3521
Epoch 8234/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.3416e-06 - accuracy: 1.0000 - val_loss: 18.0702 - val_accuracy: 0.3523
Epoch 8235/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.3344e-06 - accuracy: 1.0000 - val_loss: 18.0729 - val_accuracy: 0.3524
Epoch 8236/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.3263e-06 - accuracy: 1.0000 - val_loss: 18.0751 - val_accuracy: 0.3524
Epoch 8237/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.3184e-06 - accuracy: 1.0000 - val_loss: 18.0755 - val_accuracy: 0.3524
Epoch 8238/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.3087e-06 - accuracy: 1.0000 - val_loss: 18.0791 - val_accuracy: 0.3526
Epoch 8239/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.3003e-06 - accuracy: 1.0000 - val_loss: 18.0793 - val_accuracy: 0.3525
Epoch 8240/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.2917e-06 - accuracy: 1.0000 - val_loss: 18.0821 - val_accuracy: 0.3526
Epoch 8241/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.2882e-06 - accuracy: 1.0000 - val_loss: 18.0851 - val_accuracy: 0.3525
Epoch 8242/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.2739e-06 - accuracy: 1.0000 - val_loss: 18.0864 - val_accuracy: 0.3525
Epoch 8243/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.2689e-06 - accuracy: 1.0000 - val_loss: 18.0884 - val_accuracy: 0.3527
Epoch 8244/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.2593e-06 - accuracy: 1.0000 - val_loss: 18.0890 - val_accuracy: 0.3526
Epoch 8245/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.2534e-06 - accuracy: 1.0000 - val_loss: 18.0925 - val_accuracy: 0.3527
Epoch 8246/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.2460e-06 - accuracy: 1.0000 - val_loss: 18.0928 - val_accuracy: 0.3525
Epoch 8247/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.2348e-06 - accuracy: 1.0000 - val_loss: 18.0947 - val_accuracy: 0.3526
Epoch 8248/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.2271e-06 - accuracy: 1.0000 - val_loss: 18.0973 - val_accuracy: 0.3523
Epoch 8249/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.2185e-06 - accuracy: 1.0000 - val_loss: 18.0987 - val_accuracy: 0.3524
Epoch 8250/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.2112e-06 - accuracy: 1.0000 - val_loss: 18.1009 - val_accuracy: 0.3524
Epoch 8251/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.2047e-06 - accuracy: 1.0000 - val_loss: 18.1040 - val_accuracy: 0.3522
Epoch 8252/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.1966e-06 - accuracy: 1.0000 - val_loss: 18.1062 - val_accuracy: 0.3520
Epoch 8253/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.1897e-06 - accuracy: 1.0000 - val_loss: 18.1075 - val_accuracy: 0.3521
Epoch 8254/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.1825e-06 - accuracy: 1.0000 - val_loss: 18.1101 - val_accuracy: 0.3519
Epoch 8255/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.1737e-06 - accuracy: 1.0000 - val_loss: 18.1111 - val_accuracy: 0.3519
Epoch 8256/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.1723e-06 - accuracy: 1.0000 - val_loss: 18.1117 - val_accuracy: 0.3521
Epoch 8257/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.1609e-06 - accuracy: 1.0000 - val_loss: 18.1156 - val_accuracy: 0.3523
Epoch 8258/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.1556e-06 - accuracy: 1.0000 - val_loss: 18.1170 - val_accuracy: 0.3520
Epoch 8259/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.1461e-06 - accuracy: 1.0000 - val_loss: 18.1180 - val_accuracy: 0.3519
Epoch 8260/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.1406e-06 - accuracy: 1.0000 - val_loss: 18.1210 - val_accuracy: 0.3521
Epoch 8261/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.1351e-06 - accuracy: 1.0000 - val_loss: 18.1222 - val_accuracy: 0.3521
Epoch 8262/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.1282e-06 - accuracy: 1.0000 - val_loss: 18.1229 - val_accuracy: 0.3519
Epoch 8263/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.1213e-06 - accuracy: 1.0000 - val_loss: 18.1249 - val_accuracy: 0.3519
Epoch 8264/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.1144e-06 - accuracy: 1.0000 - val_loss: 18.1274 - val_accuracy: 0.3519
Epoch 8265/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.1070e-06 - accuracy: 1.0000 - val_loss: 18.1288 - val_accuracy: 0.3522
Epoch 8266/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.0984e-06 - accuracy: 1.0000 - val_loss: 18.1319 - val_accuracy: 0.3520
Epoch 8267/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.0927e-06 - accuracy: 1.0000 - val_loss: 18.1339 - val_accuracy: 0.3519
Epoch 8268/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.0853e-06 - accuracy: 1.0000 - val_loss: 18.1353 - val_accuracy: 0.3519
Epoch 8269/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.0829e-06 - accuracy: 1.0000 - val_loss: 18.1367 - val_accuracy: 0.3518
Epoch 8270/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.0741e-06 - accuracy: 1.0000 - val_loss: 18.1398 - val_accuracy: 0.3518
Epoch 8271/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.0664e-06 - accuracy: 1.0000 - val_loss: 18.1398 - val_accuracy: 0.3518
Epoch 8272/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.0624e-06 - accuracy: 1.0000 - val_loss: 18.1445 - val_accuracy: 0.3516
Epoch 8273/10000
16/16 [==============================] - 1s 43ms/step - loss: 1.0543e-06 - accuracy: 1.0000 - val_loss: 18.1452 - val_accuracy: 0.3517
Epoch 8274/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.0457e-06 - accuracy: 1.0000 - val_loss: 18.1492 - val_accuracy: 0.3517
Epoch 8275/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0405e-06 - accuracy: 1.0000 - val_loss: 18.1516 - val_accuracy: 0.3516
Epoch 8276/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.0333e-06 - accuracy: 1.0000 - val_loss: 18.1529 - val_accuracy: 0.3516
Epoch 8277/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.0281e-06 - accuracy: 1.0000 - val_loss: 18.1554 - val_accuracy: 0.3514
Epoch 8278/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0221e-06 - accuracy: 1.0000 - val_loss: 18.1556 - val_accuracy: 0.3514
Epoch 8279/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0159e-06 - accuracy: 1.0000 - val_loss: 18.1564 - val_accuracy: 0.3514
Epoch 8280/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.0095e-06 - accuracy: 1.0000 - val_loss: 18.1580 - val_accuracy: 0.3514
Epoch 8281/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.0025e-06 - accuracy: 1.0000 - val_loss: 18.1598 - val_accuracy: 0.3514
Epoch 8282/10000
16/16 [==============================] - 1s 41ms/step - loss: 9.9730e-07 - accuracy: 1.0000 - val_loss: 18.1611 - val_accuracy: 0.3514
Epoch 8283/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.9229e-07 - accuracy: 1.0000 - val_loss: 18.1634 - val_accuracy: 0.3513
Epoch 8284/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.8514e-07 - accuracy: 1.0000 - val_loss: 18.1629 - val_accuracy: 0.3510
Epoch 8285/10000
16/16 [==============================] - 1s 38ms/step - loss: 9.8037e-07 - accuracy: 1.0000 - val_loss: 18.1655 - val_accuracy: 0.3510
Epoch 8286/10000
16/16 [==============================] - 1s 41ms/step - loss: 9.7131e-07 - accuracy: 1.0000 - val_loss: 18.1674 - val_accuracy: 0.3511
Epoch 8287/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.6678e-07 - accuracy: 1.0000 - val_loss: 18.1712 - val_accuracy: 0.3512
Epoch 8288/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.6106e-07 - accuracy: 1.0000 - val_loss: 18.1735 - val_accuracy: 0.3510
Epoch 8289/10000
16/16 [==============================] - 1s 38ms/step - loss: 9.5605e-07 - accuracy: 1.0000 - val_loss: 18.1757 - val_accuracy: 0.3510
Epoch 8290/10000
16/16 [==============================] - 1s 41ms/step - loss: 9.4962e-07 - accuracy: 1.0000 - val_loss: 18.1789 - val_accuracy: 0.3509
Epoch 8291/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.4270e-07 - accuracy: 1.0000 - val_loss: 18.1806 - val_accuracy: 0.3510
Epoch 8292/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.3793e-07 - accuracy: 1.0000 - val_loss: 18.1817 - val_accuracy: 0.3511
Epoch 8293/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.3293e-07 - accuracy: 1.0000 - val_loss: 18.1861 - val_accuracy: 0.3510
Epoch 8294/10000
16/16 [==============================] - 1s 38ms/step - loss: 9.2816e-07 - accuracy: 1.0000 - val_loss: 18.1879 - val_accuracy: 0.3510
Epoch 8295/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.2005e-07 - accuracy: 1.0000 - val_loss: 18.1888 - val_accuracy: 0.3511
Epoch 8296/10000
16/16 [==============================] - 1s 37ms/step - loss: 9.1409e-07 - accuracy: 1.0000 - val_loss: 18.1904 - val_accuracy: 0.3510
Epoch 8297/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.1075e-07 - accuracy: 1.0000 - val_loss: 18.1912 - val_accuracy: 0.3511
Epoch 8298/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.0313e-07 - accuracy: 1.0000 - val_loss: 18.1948 - val_accuracy: 0.3511
Epoch 8299/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.9764e-07 - accuracy: 1.0000 - val_loss: 18.1981 - val_accuracy: 0.3510
Epoch 8300/10000
16/16 [==============================] - 1s 38ms/step - loss: 8.9430e-07 - accuracy: 1.0000 - val_loss: 18.2002 - val_accuracy: 0.3510
Epoch 8301/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.8858e-07 - accuracy: 1.0000 - val_loss: 18.2021 - val_accuracy: 0.3510
Epoch 8302/10000
16/16 [==============================] - 1s 38ms/step - loss: 8.8214e-07 - accuracy: 1.0000 - val_loss: 18.2024 - val_accuracy: 0.3509
Epoch 8303/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.7499e-07 - accuracy: 1.0000 - val_loss: 18.2043 - val_accuracy: 0.3510
Epoch 8304/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.7213e-07 - accuracy: 1.0000 - val_loss: 18.2050 - val_accuracy: 0.3511
Epoch 8305/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.6546e-07 - accuracy: 1.0000 - val_loss: 18.2076 - val_accuracy: 0.3510
Epoch 8306/10000
16/16 [==============================] - 1s 38ms/step - loss: 8.5973e-07 - accuracy: 1.0000 - val_loss: 18.2072 - val_accuracy: 0.3511
Epoch 8307/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.5353e-07 - accuracy: 1.0000 - val_loss: 18.2101 - val_accuracy: 0.3511
Epoch 8308/10000
16/16 [==============================] - 1s 38ms/step - loss: 8.5044e-07 - accuracy: 1.0000 - val_loss: 18.2125 - val_accuracy: 0.3512
Epoch 8309/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.4614e-07 - accuracy: 1.0000 - val_loss: 18.2156 - val_accuracy: 0.3513
Epoch 8310/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.4042e-07 - accuracy: 1.0000 - val_loss: 18.2169 - val_accuracy: 0.3513
Epoch 8311/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.3494e-07 - accuracy: 1.0000 - val_loss: 18.2195 - val_accuracy: 0.3514
Epoch 8312/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.2969e-07 - accuracy: 1.0000 - val_loss: 18.2216 - val_accuracy: 0.3513
Epoch 8313/10000
16/16 [==============================] - 1s 46ms/step - loss: 8.2373e-07 - accuracy: 1.0000 - val_loss: 18.2227 - val_accuracy: 0.3515
Epoch 8314/10000
16/16 [==============================] - 1s 48ms/step - loss: 8.2230e-07 - accuracy: 1.0000 - val_loss: 18.2231 - val_accuracy: 0.3513
Epoch 8315/10000
16/16 [==============================] - 1s 48ms/step - loss: 8.1539e-07 - accuracy: 1.0000 - val_loss: 18.2294 - val_accuracy: 0.3514
Epoch 8316/10000
16/16 [==============================] - 1s 47ms/step - loss: 8.1086e-07 - accuracy: 1.0000 - val_loss: 18.2308 - val_accuracy: 0.3516
Epoch 8317/10000
16/16 [==============================] - 1s 45ms/step - loss: 8.0442e-07 - accuracy: 1.0000 - val_loss: 18.2310 - val_accuracy: 0.3516
Epoch 8318/10000
16/16 [==============================] - 1s 47ms/step - loss: 7.9894e-07 - accuracy: 1.0000 - val_loss: 18.2327 - val_accuracy: 0.3517
Epoch 8319/10000
16/16 [==============================] - 1s 46ms/step - loss: 7.9608e-07 - accuracy: 1.0000 - val_loss: 18.2337 - val_accuracy: 0.3516
Epoch 8320/10000
16/16 [==============================] - 1s 47ms/step - loss: 7.9059e-07 - accuracy: 1.0000 - val_loss: 18.2355 - val_accuracy: 0.3517
Epoch 8321/10000
16/16 [==============================] - 1s 49ms/step - loss: 7.8559e-07 - accuracy: 1.0000 - val_loss: 18.2379 - val_accuracy: 0.3514
Epoch 8322/10000
16/16 [==============================] - 1s 48ms/step - loss: 7.8129e-07 - accuracy: 1.0000 - val_loss: 18.2383 - val_accuracy: 0.3515
Epoch 8323/10000
16/16 [==============================] - 1s 49ms/step - loss: 7.7676e-07 - accuracy: 1.0000 - val_loss: 18.2430 - val_accuracy: 0.3517
Epoch 8324/10000
16/16 [==============================] - 1s 51ms/step - loss: 7.7176e-07 - accuracy: 1.0000 - val_loss: 18.2451 - val_accuracy: 0.3516
Epoch 8325/10000
16/16 [==============================] - 1s 48ms/step - loss: 7.6723e-07 - accuracy: 1.0000 - val_loss: 18.2480 - val_accuracy: 0.3514
Epoch 8326/10000
16/16 [==============================] - 1s 46ms/step - loss: 7.6055e-07 - accuracy: 1.0000 - val_loss: 18.2470 - val_accuracy: 0.3515
Epoch 8327/10000
16/16 [==============================] - 1s 43ms/step - loss: 7.5793e-07 - accuracy: 1.0000 - val_loss: 18.2498 - val_accuracy: 0.3515
Epoch 8328/10000
16/16 [==============================] - 1s 41ms/step - loss: 7.5411e-07 - accuracy: 1.0000 - val_loss: 18.2535 - val_accuracy: 0.3514
Epoch 8329/10000
16/16 [==============================] - 1s 38ms/step - loss: 7.4792e-07 - accuracy: 1.0000 - val_loss: 18.2539 - val_accuracy: 0.3513
Epoch 8330/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.4339e-07 - accuracy: 1.0000 - val_loss: 18.2550 - val_accuracy: 0.3514
Epoch 8331/10000
16/16 [==============================] - 1s 38ms/step - loss: 7.3981e-07 - accuracy: 1.0000 - val_loss: 18.2585 - val_accuracy: 0.3512
Epoch 8332/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.3743e-07 - accuracy: 1.0000 - val_loss: 18.2582 - val_accuracy: 0.3514
Epoch 8333/10000
16/16 [==============================] - 1s 38ms/step - loss: 7.2980e-07 - accuracy: 1.0000 - val_loss: 18.2615 - val_accuracy: 0.3514
Epoch 8334/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.2431e-07 - accuracy: 1.0000 - val_loss: 18.2633 - val_accuracy: 0.3514
Epoch 8335/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.2312e-07 - accuracy: 1.0000 - val_loss: 18.2673 - val_accuracy: 0.3515
Epoch 8336/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.1573e-07 - accuracy: 1.0000 - val_loss: 18.2661 - val_accuracy: 0.3514
Epoch 8337/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.1144e-07 - accuracy: 1.0000 - val_loss: 18.2693 - val_accuracy: 0.3515
Epoch 8338/10000
16/16 [==============================] - 1s 41ms/step - loss: 7.0905e-07 - accuracy: 1.0000 - val_loss: 18.2705 - val_accuracy: 0.3513
Epoch 8339/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.0429e-07 - accuracy: 1.0000 - val_loss: 18.2746 - val_accuracy: 0.3514
Epoch 8340/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.9976e-07 - accuracy: 1.0000 - val_loss: 18.2756 - val_accuracy: 0.3514
Epoch 8341/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.9523e-07 - accuracy: 1.0000 - val_loss: 18.2777 - val_accuracy: 0.3514
Epoch 8342/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.9356e-07 - accuracy: 1.0000 - val_loss: 18.2784 - val_accuracy: 0.3515
Epoch 8343/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.8760e-07 - accuracy: 1.0000 - val_loss: 18.2812 - val_accuracy: 0.3515
Epoch 8344/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.8426e-07 - accuracy: 1.0000 - val_loss: 18.2818 - val_accuracy: 0.3515
Epoch 8345/10000
16/16 [==============================] - 1s 38ms/step - loss: 6.8044e-07 - accuracy: 1.0000 - val_loss: 18.2838 - val_accuracy: 0.3514
Epoch 8346/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.7663e-07 - accuracy: 1.0000 - val_loss: 18.2863 - val_accuracy: 0.3514
Epoch 8347/10000
16/16 [==============================] - 1s 38ms/step - loss: 6.7186e-07 - accuracy: 1.0000 - val_loss: 18.2885 - val_accuracy: 0.3515
Epoch 8348/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.6876e-07 - accuracy: 1.0000 - val_loss: 18.2908 - val_accuracy: 0.3517
Epoch 8349/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.6375e-07 - accuracy: 1.0000 - val_loss: 18.2915 - val_accuracy: 0.3517
Epoch 8350/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.5994e-07 - accuracy: 1.0000 - val_loss: 18.2957 - val_accuracy: 0.3519
Epoch 8351/10000
16/16 [==============================] - 1s 38ms/step - loss: 6.5589e-07 - accuracy: 1.0000 - val_loss: 18.2959 - val_accuracy: 0.3518
Epoch 8352/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.5064e-07 - accuracy: 1.0000 - val_loss: 18.2986 - val_accuracy: 0.3520
Epoch 8353/10000
16/16 [==============================] - 1s 38ms/step - loss: 6.4730e-07 - accuracy: 1.0000 - val_loss: 18.3014 - val_accuracy: 0.3521
Epoch 8354/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.4468e-07 - accuracy: 1.0000 - val_loss: 18.3028 - val_accuracy: 0.3521
Epoch 8355/10000
16/16 [==============================] - 1s 38ms/step - loss: 6.4039e-07 - accuracy: 1.0000 - val_loss: 18.3052 - val_accuracy: 0.3521
Epoch 8356/10000
16/16 [==============================] - 1s 38ms/step - loss: 6.3610e-07 - accuracy: 1.0000 - val_loss: 18.3064 - val_accuracy: 0.3523
Epoch 8357/10000
16/16 [==============================] - 1s 38ms/step - loss: 6.3205e-07 - accuracy: 1.0000 - val_loss: 18.3098 - val_accuracy: 0.3525
Epoch 8358/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.2895e-07 - accuracy: 1.0000 - val_loss: 18.3119 - val_accuracy: 0.3523
Epoch 8359/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.2465e-07 - accuracy: 1.0000 - val_loss: 18.3114 - val_accuracy: 0.3525
Epoch 8360/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.1893e-07 - accuracy: 1.0000 - val_loss: 18.3139 - val_accuracy: 0.3525
Epoch 8361/10000
16/16 [==============================] - 1s 38ms/step - loss: 6.1583e-07 - accuracy: 1.0000 - val_loss: 18.3183 - val_accuracy: 0.3524
Epoch 8362/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.1250e-07 - accuracy: 1.0000 - val_loss: 18.3211 - val_accuracy: 0.3526
Epoch 8363/10000
16/16 [==============================] - 1s 38ms/step - loss: 6.0892e-07 - accuracy: 1.0000 - val_loss: 18.3214 - val_accuracy: 0.3527
Epoch 8364/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.0630e-07 - accuracy: 1.0000 - val_loss: 18.3227 - val_accuracy: 0.3527
Epoch 8365/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.0177e-07 - accuracy: 1.0000 - val_loss: 18.3259 - val_accuracy: 0.3527
Epoch 8366/10000
16/16 [==============================] - 1s 38ms/step - loss: 5.9891e-07 - accuracy: 1.0000 - val_loss: 18.3271 - val_accuracy: 0.3529
Epoch 8367/10000
16/16 [==============================] - 1s 41ms/step - loss: 5.9414e-07 - accuracy: 1.0000 - val_loss: 18.3302 - val_accuracy: 0.3527
Epoch 8368/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.9008e-07 - accuracy: 1.0000 - val_loss: 18.3322 - val_accuracy: 0.3527
Epoch 8369/10000
16/16 [==============================] - 1s 41ms/step - loss: 5.8722e-07 - accuracy: 1.0000 - val_loss: 18.3348 - val_accuracy: 0.3529
Epoch 8370/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.8436e-07 - accuracy: 1.0000 - val_loss: 18.3370 - val_accuracy: 0.3529
Epoch 8371/10000
16/16 [==============================] - 1s 41ms/step - loss: 5.8055e-07 - accuracy: 1.0000 - val_loss: 18.3384 - val_accuracy: 0.3529
Epoch 8372/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.7673e-07 - accuracy: 1.0000 - val_loss: 18.3404 - val_accuracy: 0.3529
Epoch 8373/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.7340e-07 - accuracy: 1.0000 - val_loss: 18.3429 - val_accuracy: 0.3529
Epoch 8374/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.6887e-07 - accuracy: 1.0000 - val_loss: 18.3456 - val_accuracy: 0.3529
Epoch 8375/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.6600e-07 - accuracy: 1.0000 - val_loss: 18.3479 - val_accuracy: 0.3527
Epoch 8376/10000
16/16 [==============================] - 1s 41ms/step - loss: 5.6171e-07 - accuracy: 1.0000 - val_loss: 18.3470 - val_accuracy: 0.3530
Epoch 8377/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.5981e-07 - accuracy: 1.0000 - val_loss: 18.3500 - val_accuracy: 0.3528
Epoch 8378/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.5599e-07 - accuracy: 1.0000 - val_loss: 18.3533 - val_accuracy: 0.3528
Epoch 8379/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.5313e-07 - accuracy: 1.0000 - val_loss: 18.3559 - val_accuracy: 0.3528
Epoch 8380/10000
16/16 [==============================] - 1s 38ms/step - loss: 5.4931e-07 - accuracy: 1.0000 - val_loss: 18.3582 - val_accuracy: 0.3528
Epoch 8381/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.4598e-07 - accuracy: 1.0000 - val_loss: 18.3580 - val_accuracy: 0.3528
Epoch 8382/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.4264e-07 - accuracy: 1.0000 - val_loss: 18.3610 - val_accuracy: 0.3527
Epoch 8383/10000
16/16 [==============================] - 1s 41ms/step - loss: 5.3906e-07 - accuracy: 1.0000 - val_loss: 18.3619 - val_accuracy: 0.3527
Epoch 8384/10000
16/16 [==============================] - 1s 41ms/step - loss: 5.3668e-07 - accuracy: 1.0000 - val_loss: 18.3652 - val_accuracy: 0.3528
Epoch 8385/10000
16/16 [==============================] - 1s 41ms/step - loss: 5.3263e-07 - accuracy: 1.0000 - val_loss: 18.3668 - val_accuracy: 0.3526
Epoch 8386/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.2905e-07 - accuracy: 1.0000 - val_loss: 18.3688 - val_accuracy: 0.3527
Epoch 8387/10000
16/16 [==============================] - 1s 42ms/step - loss: 5.2690e-07 - accuracy: 1.0000 - val_loss: 18.3720 - val_accuracy: 0.3526
Epoch 8388/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.2333e-07 - accuracy: 1.0000 - val_loss: 18.3749 - val_accuracy: 0.3527
Epoch 8389/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.1951e-07 - accuracy: 1.0000 - val_loss: 18.3768 - val_accuracy: 0.3527
Epoch 8390/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.1641e-07 - accuracy: 1.0000 - val_loss: 18.3773 - val_accuracy: 0.3528
Epoch 8391/10000
16/16 [==============================] - 1s 41ms/step - loss: 5.1403e-07 - accuracy: 1.0000 - val_loss: 18.3802 - val_accuracy: 0.3527
Epoch 8392/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.1331e-07 - accuracy: 1.0000 - val_loss: 18.3826 - val_accuracy: 0.3526
Epoch 8393/10000
16/16 [==============================] - 1s 41ms/step - loss: 5.0640e-07 - accuracy: 1.0000 - val_loss: 18.3832 - val_accuracy: 0.3527
Epoch 8394/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.0449e-07 - accuracy: 1.0000 - val_loss: 18.3882 - val_accuracy: 0.3527
Epoch 8395/10000
16/16 [==============================] - 1s 42ms/step - loss: 5.0402e-07 - accuracy: 1.0000 - val_loss: 18.3899 - val_accuracy: 0.3525
Epoch 8396/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.9853e-07 - accuracy: 1.0000 - val_loss: 18.3909 - val_accuracy: 0.3523
Epoch 8397/10000
16/16 [==============================] - 1s 41ms/step - loss: 4.9591e-07 - accuracy: 1.0000 - val_loss: 18.3906 - val_accuracy: 0.3526
Epoch 8398/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.9209e-07 - accuracy: 1.0000 - val_loss: 18.3941 - val_accuracy: 0.3525
Epoch 8399/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.9043e-07 - accuracy: 1.0000 - val_loss: 18.3993 - val_accuracy: 0.3523
Epoch 8400/10000
16/16 [==============================] - 1s 38ms/step - loss: 4.8733e-07 - accuracy: 1.0000 - val_loss: 18.3991 - val_accuracy: 0.3523
Epoch 8401/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.8137e-07 - accuracy: 1.0000 - val_loss: 18.4008 - val_accuracy: 0.3522
Epoch 8402/10000
16/16 [==============================] - 1s 38ms/step - loss: 4.8017e-07 - accuracy: 1.0000 - val_loss: 18.4043 - val_accuracy: 0.3520
Epoch 8403/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.7684e-07 - accuracy: 1.0000 - val_loss: 18.4054 - val_accuracy: 0.3523
Epoch 8404/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.7493e-07 - accuracy: 1.0000 - val_loss: 18.4072 - val_accuracy: 0.3524
Epoch 8405/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.7135e-07 - accuracy: 1.0000 - val_loss: 18.4103 - val_accuracy: 0.3525
Epoch 8406/10000
16/16 [==============================] - 1s 38ms/step - loss: 4.6968e-07 - accuracy: 1.0000 - val_loss: 18.4136 - val_accuracy: 0.3522
Epoch 8407/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.6611e-07 - accuracy: 1.0000 - val_loss: 18.4144 - val_accuracy: 0.3525
Epoch 8408/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.6253e-07 - accuracy: 1.0000 - val_loss: 18.4174 - val_accuracy: 0.3527
Epoch 8409/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.5943e-07 - accuracy: 1.0000 - val_loss: 18.4183 - val_accuracy: 0.3522
Epoch 8410/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.5729e-07 - accuracy: 1.0000 - val_loss: 18.4197 - val_accuracy: 0.3522
Epoch 8411/10000
16/16 [==============================] - 1s 41ms/step - loss: 4.5395e-07 - accuracy: 1.0000 - val_loss: 18.4244 - val_accuracy: 0.3527
Epoch 8412/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.5228e-07 - accuracy: 1.0000 - val_loss: 18.4271 - val_accuracy: 0.3522
Epoch 8413/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.4870e-07 - accuracy: 1.0000 - val_loss: 18.4268 - val_accuracy: 0.3526
Epoch 8414/10000
16/16 [==============================] - 1s 38ms/step - loss: 4.4608e-07 - accuracy: 1.0000 - val_loss: 18.4307 - val_accuracy: 0.3527
Epoch 8415/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.4393e-07 - accuracy: 1.0000 - val_loss: 18.4326 - val_accuracy: 0.3523
Epoch 8416/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.4083e-07 - accuracy: 1.0000 - val_loss: 18.4348 - val_accuracy: 0.3527
Epoch 8417/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.3797e-07 - accuracy: 1.0000 - val_loss: 18.4352 - val_accuracy: 0.3527
Epoch 8418/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.3774e-07 - accuracy: 1.0000 - val_loss: 18.4391 - val_accuracy: 0.3524
Epoch 8419/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.3344e-07 - accuracy: 1.0000 - val_loss: 18.4393 - val_accuracy: 0.3525
Epoch 8420/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.3201e-07 - accuracy: 1.0000 - val_loss: 18.4431 - val_accuracy: 0.3522
Epoch 8421/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.3034e-07 - accuracy: 1.0000 - val_loss: 18.4436 - val_accuracy: 0.3524
Epoch 8422/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.2486e-07 - accuracy: 1.0000 - val_loss: 18.4457 - val_accuracy: 0.3524
Epoch 8423/10000
16/16 [==============================] - 1s 41ms/step - loss: 4.2248e-07 - accuracy: 1.0000 - val_loss: 18.4491 - val_accuracy: 0.3525
Epoch 8424/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.2081e-07 - accuracy: 1.0000 - val_loss: 18.4501 - val_accuracy: 0.3524
Epoch 8425/10000
16/16 [==============================] - 1s 41ms/step - loss: 4.1675e-07 - accuracy: 1.0000 - val_loss: 18.4519 - val_accuracy: 0.3523
Epoch 8426/10000
16/16 [==============================] - 1s 41ms/step - loss: 4.1413e-07 - accuracy: 1.0000 - val_loss: 18.4546 - val_accuracy: 0.3524
Epoch 8427/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.1294e-07 - accuracy: 1.0000 - val_loss: 18.4548 - val_accuracy: 0.3523
Epoch 8428/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.0793e-07 - accuracy: 1.0000 - val_loss: 18.4578 - val_accuracy: 0.3525
Epoch 8429/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.0579e-07 - accuracy: 1.0000 - val_loss: 18.4592 - val_accuracy: 0.3525
Epoch 8430/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.0460e-07 - accuracy: 1.0000 - val_loss: 18.4622 - val_accuracy: 0.3524
Epoch 8431/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.0102e-07 - accuracy: 1.0000 - val_loss: 18.4662 - val_accuracy: 0.3524
Epoch 8432/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.0173e-07 - accuracy: 1.0000 - val_loss: 18.4657 - val_accuracy: 0.3524
Epoch 8433/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.9792e-07 - accuracy: 1.0000 - val_loss: 18.4682 - val_accuracy: 0.3522
Epoch 8434/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.9387e-07 - accuracy: 1.0000 - val_loss: 18.4726 - val_accuracy: 0.3524
Epoch 8435/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.9339e-07 - accuracy: 1.0000 - val_loss: 18.4754 - val_accuracy: 0.3526
Epoch 8436/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.9029e-07 - accuracy: 1.0000 - val_loss: 18.4746 - val_accuracy: 0.3525
Epoch 8437/10000
16/16 [==============================] - 1s 41ms/step - loss: 3.8600e-07 - accuracy: 1.0000 - val_loss: 18.4785 - val_accuracy: 0.3525
Epoch 8438/10000
16/16 [==============================] - 1s 38ms/step - loss: 3.8552e-07 - accuracy: 1.0000 - val_loss: 18.4799 - val_accuracy: 0.3527
Epoch 8439/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.8338e-07 - accuracy: 1.0000 - val_loss: 18.4816 - val_accuracy: 0.3526
Epoch 8440/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.7932e-07 - accuracy: 1.0000 - val_loss: 18.4853 - val_accuracy: 0.3526
Epoch 8441/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.7813e-07 - accuracy: 1.0000 - val_loss: 18.4850 - val_accuracy: 0.3526
Epoch 8442/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.7503e-07 - accuracy: 1.0000 - val_loss: 18.4901 - val_accuracy: 0.3526
Epoch 8443/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.7384e-07 - accuracy: 1.0000 - val_loss: 18.4906 - val_accuracy: 0.3525
Epoch 8444/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.7050e-07 - accuracy: 1.0000 - val_loss: 18.4921 - val_accuracy: 0.3524
Epoch 8445/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.6740e-07 - accuracy: 1.0000 - val_loss: 18.4943 - val_accuracy: 0.3524
Epoch 8446/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.6573e-07 - accuracy: 1.0000 - val_loss: 18.4969 - val_accuracy: 0.3525
Epoch 8447/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.6454e-07 - accuracy: 1.0000 - val_loss: 18.4983 - val_accuracy: 0.3524
Epoch 8448/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.6240e-07 - accuracy: 1.0000 - val_loss: 18.5005 - val_accuracy: 0.3524
Epoch 8449/10000
16/16 [==============================] - 1s 38ms/step - loss: 3.5977e-07 - accuracy: 1.0000 - val_loss: 18.5040 - val_accuracy: 0.3523
Epoch 8450/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.5906e-07 - accuracy: 1.0000 - val_loss: 18.5044 - val_accuracy: 0.3521
Epoch 8451/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.5667e-07 - accuracy: 1.0000 - val_loss: 18.5072 - val_accuracy: 0.3521
Epoch 8452/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.5429e-07 - accuracy: 1.0000 - val_loss: 18.5060 - val_accuracy: 0.3522
Epoch 8453/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.5000e-07 - accuracy: 1.0000 - val_loss: 18.5090 - val_accuracy: 0.3522
Epoch 8454/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.4904e-07 - accuracy: 1.0000 - val_loss: 18.5147 - val_accuracy: 0.3522
Epoch 8455/10000
16/16 [==============================] - 1s 38ms/step - loss: 3.4738e-07 - accuracy: 1.0000 - val_loss: 18.5140 - val_accuracy: 0.3523
Epoch 8456/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.4642e-07 - accuracy: 1.0000 - val_loss: 18.5147 - val_accuracy: 0.3524
Epoch 8457/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.4308e-07 - accuracy: 1.0000 - val_loss: 18.5221 - val_accuracy: 0.3523
Epoch 8458/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.3927e-07 - accuracy: 1.0000 - val_loss: 18.5214 - val_accuracy: 0.3521
Epoch 8459/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.3688e-07 - accuracy: 1.0000 - val_loss: 18.5244 - val_accuracy: 0.3525
Epoch 8460/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.3569e-07 - accuracy: 1.0000 - val_loss: 18.5282 - val_accuracy: 0.3520
Epoch 8461/10000
16/16 [==============================] - 1s 38ms/step - loss: 3.3331e-07 - accuracy: 1.0000 - val_loss: 18.5291 - val_accuracy: 0.3523
Epoch 8462/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.3355e-07 - accuracy: 1.0000 - val_loss: 18.5315 - val_accuracy: 0.3525
Epoch 8463/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.2949e-07 - accuracy: 1.0000 - val_loss: 18.5336 - val_accuracy: 0.3524
Epoch 8464/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.2735e-07 - accuracy: 1.0000 - val_loss: 18.5361 - val_accuracy: 0.3523
Epoch 8465/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.2473e-07 - accuracy: 1.0000 - val_loss: 18.5382 - val_accuracy: 0.3523
Epoch 8466/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.2306e-07 - accuracy: 1.0000 - val_loss: 18.5404 - val_accuracy: 0.3523
Epoch 8467/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.2210e-07 - accuracy: 1.0000 - val_loss: 18.5421 - val_accuracy: 0.3523
Epoch 8468/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.2091e-07 - accuracy: 1.0000 - val_loss: 18.5441 - val_accuracy: 0.3523
Epoch 8469/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.1805e-07 - accuracy: 1.0000 - val_loss: 18.5481 - val_accuracy: 0.3522
Epoch 8470/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.1543e-07 - accuracy: 1.0000 - val_loss: 18.5484 - val_accuracy: 0.3523
Epoch 8471/10000
16/16 [==============================] - 1s 38ms/step - loss: 3.1400e-07 - accuracy: 1.0000 - val_loss: 18.5502 - val_accuracy: 0.3523
Epoch 8472/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.1233e-07 - accuracy: 1.0000 - val_loss: 18.5525 - val_accuracy: 0.3524
Epoch 8473/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.0971e-07 - accuracy: 1.0000 - val_loss: 18.5549 - val_accuracy: 0.3523
Epoch 8474/10000
16/16 [==============================] - 1s 41ms/step - loss: 3.0923e-07 - accuracy: 1.0000 - val_loss: 18.5564 - val_accuracy: 0.3523
Epoch 8475/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.0684e-07 - accuracy: 1.0000 - val_loss: 18.5603 - val_accuracy: 0.3525
Epoch 8476/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.0494e-07 - accuracy: 1.0000 - val_loss: 18.5623 - val_accuracy: 0.3523
Epoch 8477/10000
16/16 [==============================] - 1s 41ms/step - loss: 3.0303e-07 - accuracy: 1.0000 - val_loss: 18.5639 - val_accuracy: 0.3524
Epoch 8478/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.0160e-07 - accuracy: 1.0000 - val_loss: 18.5672 - val_accuracy: 0.3524
Epoch 8479/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.9850e-07 - accuracy: 1.0000 - val_loss: 18.5665 - val_accuracy: 0.3525
Epoch 8480/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.9564e-07 - accuracy: 1.0000 - val_loss: 18.5682 - val_accuracy: 0.3524
Epoch 8481/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.9492e-07 - accuracy: 1.0000 - val_loss: 18.5715 - val_accuracy: 0.3523
Epoch 8482/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.9206e-07 - accuracy: 1.0000 - val_loss: 18.5746 - val_accuracy: 0.3524
Epoch 8483/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.9230e-07 - accuracy: 1.0000 - val_loss: 18.5781 - val_accuracy: 0.3523
Epoch 8484/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.9063e-07 - accuracy: 1.0000 - val_loss: 18.5780 - val_accuracy: 0.3524
Epoch 8485/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.8658e-07 - accuracy: 1.0000 - val_loss: 18.5802 - val_accuracy: 0.3524
Epoch 8486/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.8610e-07 - accuracy: 1.0000 - val_loss: 18.5842 - val_accuracy: 0.3526
Epoch 8487/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.8443e-07 - accuracy: 1.0000 - val_loss: 18.5866 - val_accuracy: 0.3525
Epoch 8488/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.8181e-07 - accuracy: 1.0000 - val_loss: 18.5866 - val_accuracy: 0.3526
Epoch 8489/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.7823e-07 - accuracy: 1.0000 - val_loss: 18.5895 - val_accuracy: 0.3526
Epoch 8490/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.7776e-07 - accuracy: 1.0000 - val_loss: 18.5966 - val_accuracy: 0.3524
Epoch 8491/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.7823e-07 - accuracy: 1.0000 - val_loss: 18.5971 - val_accuracy: 0.3525
Epoch 8492/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.7609e-07 - accuracy: 1.0000 - val_loss: 18.5959 - val_accuracy: 0.3526
Epoch 8493/10000
16/16 [==============================] - 1s 42ms/step - loss: 2.7418e-07 - accuracy: 1.0000 - val_loss: 18.5970 - val_accuracy: 0.3526
Epoch 8494/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.7204e-07 - accuracy: 1.0000 - val_loss: 18.6022 - val_accuracy: 0.3526
Epoch 8495/10000
16/16 [==============================] - 1s 38ms/step - loss: 2.6917e-07 - accuracy: 1.0000 - val_loss: 18.6046 - val_accuracy: 0.3525
Epoch 8496/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.6846e-07 - accuracy: 1.0000 - val_loss: 18.6050 - val_accuracy: 0.3526
Epoch 8497/10000
16/16 [==============================] - 1s 38ms/step - loss: 2.6655e-07 - accuracy: 1.0000 - val_loss: 18.6083 - val_accuracy: 0.3527
Epoch 8498/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.6393e-07 - accuracy: 1.0000 - val_loss: 18.6102 - val_accuracy: 0.3527
Epoch 8499/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.6226e-07 - accuracy: 1.0000 - val_loss: 18.6111 - val_accuracy: 0.3525
Epoch 8500/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.6083e-07 - accuracy: 1.0000 - val_loss: 18.6144 - val_accuracy: 0.3525
Epoch 8501/10000
16/16 [==============================] - 1s 38ms/step - loss: 2.5964e-07 - accuracy: 1.0000 - val_loss: 18.6177 - val_accuracy: 0.3525
Epoch 8502/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.5797e-07 - accuracy: 1.0000 - val_loss: 18.6189 - val_accuracy: 0.3525
Epoch 8503/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.5582e-07 - accuracy: 1.0000 - val_loss: 18.6204 - val_accuracy: 0.3525
Epoch 8504/10000
16/16 [==============================] - 1s 38ms/step - loss: 2.5582e-07 - accuracy: 1.0000 - val_loss: 18.6261 - val_accuracy: 0.3525
Epoch 8505/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.5320e-07 - accuracy: 1.0000 - val_loss: 18.6275 - val_accuracy: 0.3525
Epoch 8506/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.5177e-07 - accuracy: 1.0000 - val_loss: 18.6275 - val_accuracy: 0.3523
Epoch 8507/10000
16/16 [==============================] - 1s 38ms/step - loss: 2.4867e-07 - accuracy: 1.0000 - val_loss: 18.6302 - val_accuracy: 0.3524
Epoch 8508/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.4748e-07 - accuracy: 1.0000 - val_loss: 18.6325 - val_accuracy: 0.3524
Epoch 8509/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.4629e-07 - accuracy: 1.0000 - val_loss: 18.6361 - val_accuracy: 0.3525
Epoch 8510/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.4390e-07 - accuracy: 1.0000 - val_loss: 18.6380 - val_accuracy: 0.3524
Epoch 8511/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.4366e-07 - accuracy: 1.0000 - val_loss: 18.6387 - val_accuracy: 0.3523
Epoch 8512/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.4176e-07 - accuracy: 1.0000 - val_loss: 18.6404 - val_accuracy: 0.3524
Epoch 8513/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.4033e-07 - accuracy: 1.0000 - val_loss: 18.6448 - val_accuracy: 0.3522
Epoch 8514/10000
16/16 [==============================] - 1s 42ms/step - loss: 2.3937e-07 - accuracy: 1.0000 - val_loss: 18.6464 - val_accuracy: 0.3525
Epoch 8515/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.3723e-07 - accuracy: 1.0000 - val_loss: 18.6471 - val_accuracy: 0.3526
Epoch 8516/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.3603e-07 - accuracy: 1.0000 - val_loss: 18.6503 - val_accuracy: 0.3524
Epoch 8517/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.3460e-07 - accuracy: 1.0000 - val_loss: 18.6563 - val_accuracy: 0.3523
Epoch 8518/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.3270e-07 - accuracy: 1.0000 - val_loss: 18.6554 - val_accuracy: 0.3524
Epoch 8519/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.3150e-07 - accuracy: 1.0000 - val_loss: 18.6578 - val_accuracy: 0.3524
Epoch 8520/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.2984e-07 - accuracy: 1.0000 - val_loss: 18.6597 - val_accuracy: 0.3523
Epoch 8521/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.2888e-07 - accuracy: 1.0000 - val_loss: 18.6614 - val_accuracy: 0.3523
Epoch 8522/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.2697e-07 - accuracy: 1.0000 - val_loss: 18.6646 - val_accuracy: 0.3524
Epoch 8523/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.2507e-07 - accuracy: 1.0000 - val_loss: 18.6650 - val_accuracy: 0.3525
Epoch 8524/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.2411e-07 - accuracy: 1.0000 - val_loss: 18.6688 - val_accuracy: 0.3524
Epoch 8525/10000
16/16 [==============================] - 1s 38ms/step - loss: 2.2340e-07 - accuracy: 1.0000 - val_loss: 18.6696 - val_accuracy: 0.3526
Epoch 8526/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.2173e-07 - accuracy: 1.0000 - val_loss: 18.6754 - val_accuracy: 0.3526
Epoch 8527/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.2054e-07 - accuracy: 1.0000 - val_loss: 18.6753 - val_accuracy: 0.3526
Epoch 8528/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.1815e-07 - accuracy: 1.0000 - val_loss: 18.6768 - val_accuracy: 0.3524
Epoch 8529/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.1696e-07 - accuracy: 1.0000 - val_loss: 18.6789 - val_accuracy: 0.3524
Epoch 8530/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.1505e-07 - accuracy: 1.0000 - val_loss: 18.6790 - val_accuracy: 0.3524
Epoch 8531/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.1481e-07 - accuracy: 1.0000 - val_loss: 18.6839 - val_accuracy: 0.3524
Epoch 8532/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.1386e-07 - accuracy: 1.0000 - val_loss: 18.6870 - val_accuracy: 0.3524
Epoch 8533/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.1052e-07 - accuracy: 1.0000 - val_loss: 18.6872 - val_accuracy: 0.3528
Epoch 8534/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.0909e-07 - accuracy: 1.0000 - val_loss: 18.6922 - val_accuracy: 0.3525
Epoch 8535/10000
16/16 [==============================] - 1s 42ms/step - loss: 2.0742e-07 - accuracy: 1.0000 - val_loss: 18.6947 - val_accuracy: 0.3524
Epoch 8536/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.0599e-07 - accuracy: 1.0000 - val_loss: 18.6975 - val_accuracy: 0.3521
Epoch 8537/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.0409e-07 - accuracy: 1.0000 - val_loss: 18.7003 - val_accuracy: 0.3522
Epoch 8538/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.0361e-07 - accuracy: 1.0000 - val_loss: 18.7020 - val_accuracy: 0.3522
Epoch 8539/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.0289e-07 - accuracy: 1.0000 - val_loss: 18.7041 - val_accuracy: 0.3526
Epoch 8540/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.0170e-07 - accuracy: 1.0000 - val_loss: 18.7049 - val_accuracy: 0.3524
Epoch 8541/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.9860e-07 - accuracy: 1.0000 - val_loss: 18.7071 - val_accuracy: 0.3522
Epoch 8542/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.9717e-07 - accuracy: 1.0000 - val_loss: 18.7108 - val_accuracy: 0.3522
Epoch 8543/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.9670e-07 - accuracy: 1.0000 - val_loss: 18.7131 - val_accuracy: 0.3523
Epoch 8544/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.9431e-07 - accuracy: 1.0000 - val_loss: 18.7142 - val_accuracy: 0.3524
Epoch 8545/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.9431e-07 - accuracy: 1.0000 - val_loss: 18.7179 - val_accuracy: 0.3525
Epoch 8546/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.9217e-07 - accuracy: 1.0000 - val_loss: 18.7182 - val_accuracy: 0.3523
Epoch 8547/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.9145e-07 - accuracy: 1.0000 - val_loss: 18.7221 - val_accuracy: 0.3523
Epoch 8548/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.9050e-07 - accuracy: 1.0000 - val_loss: 18.7254 - val_accuracy: 0.3522
Epoch 8549/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.8930e-07 - accuracy: 1.0000 - val_loss: 18.7263 - val_accuracy: 0.3520
Epoch 8550/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.8716e-07 - accuracy: 1.0000 - val_loss: 18.7304 - val_accuracy: 0.3522
Epoch 8551/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.8716e-07 - accuracy: 1.0000 - val_loss: 18.7282 - val_accuracy: 0.3520
Epoch 8552/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.8597e-07 - accuracy: 1.0000 - val_loss: 18.7314 - val_accuracy: 0.3517
Epoch 8553/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.8477e-07 - accuracy: 1.0000 - val_loss: 18.7355 - val_accuracy: 0.3520
Epoch 8554/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.8191e-07 - accuracy: 1.0000 - val_loss: 18.7381 - val_accuracy: 0.3518
Epoch 8555/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.8191e-07 - accuracy: 1.0000 - val_loss: 18.7402 - val_accuracy: 0.3518
Epoch 8556/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.8072e-07 - accuracy: 1.0000 - val_loss: 18.7437 - val_accuracy: 0.3518
Epoch 8557/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.7953e-07 - accuracy: 1.0000 - val_loss: 18.7467 - val_accuracy: 0.3521
Epoch 8558/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.7834e-07 - accuracy: 1.0000 - val_loss: 18.7489 - val_accuracy: 0.3519
Epoch 8559/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.7786e-07 - accuracy: 1.0000 - val_loss: 18.7505 - val_accuracy: 0.3521
Epoch 8560/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.7691e-07 - accuracy: 1.0000 - val_loss: 18.7576 - val_accuracy: 0.3519
Epoch 8561/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.7452e-07 - accuracy: 1.0000 - val_loss: 18.7576 - val_accuracy: 0.3520
Epoch 8562/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.7333e-07 - accuracy: 1.0000 - val_loss: 18.7574 - val_accuracy: 0.3521
Epoch 8563/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.7190e-07 - accuracy: 1.0000 - val_loss: 18.7590 - val_accuracy: 0.3519
Epoch 8564/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.7261e-07 - accuracy: 1.0000 - val_loss: 18.7620 - val_accuracy: 0.3519
Epoch 8565/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.7095e-07 - accuracy: 1.0000 - val_loss: 18.7670 - val_accuracy: 0.3518
Epoch 8566/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.6904e-07 - accuracy: 1.0000 - val_loss: 18.7707 - val_accuracy: 0.3516
Epoch 8567/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.6808e-07 - accuracy: 1.0000 - val_loss: 18.7711 - val_accuracy: 0.3516
Epoch 8568/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.6618e-07 - accuracy: 1.0000 - val_loss: 18.7754 - val_accuracy: 0.3518
Epoch 8569/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.6522e-07 - accuracy: 1.0000 - val_loss: 18.7773 - val_accuracy: 0.3514
Epoch 8570/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.6379e-07 - accuracy: 1.0000 - val_loss: 18.7797 - val_accuracy: 0.3516
Epoch 8571/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.6356e-07 - accuracy: 1.0000 - val_loss: 18.7831 - val_accuracy: 0.3514
Epoch 8572/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.6284e-07 - accuracy: 1.0000 - val_loss: 18.7862 - val_accuracy: 0.3515
Epoch 8573/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.6141e-07 - accuracy: 1.0000 - val_loss: 18.7868 - val_accuracy: 0.3516
Epoch 8574/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.6069e-07 - accuracy: 1.0000 - val_loss: 18.7896 - val_accuracy: 0.3516
Epoch 8575/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.5926e-07 - accuracy: 1.0000 - val_loss: 18.7918 - val_accuracy: 0.3517
Epoch 8576/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.5783e-07 - accuracy: 1.0000 - val_loss: 18.7928 - val_accuracy: 0.3518
Epoch 8577/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.5712e-07 - accuracy: 1.0000 - val_loss: 18.7979 - val_accuracy: 0.3517
Epoch 8578/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.5593e-07 - accuracy: 1.0000 - val_loss: 18.7999 - val_accuracy: 0.3518
Epoch 8579/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.5569e-07 - accuracy: 1.0000 - val_loss: 18.8045 - val_accuracy: 0.3517
Epoch 8580/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.5450e-07 - accuracy: 1.0000 - val_loss: 18.8068 - val_accuracy: 0.3517
Epoch 8581/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.5402e-07 - accuracy: 1.0000 - val_loss: 18.8078 - val_accuracy: 0.3516
Epoch 8582/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.5306e-07 - accuracy: 1.0000 - val_loss: 18.8100 - val_accuracy: 0.3517
Epoch 8583/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.5163e-07 - accuracy: 1.0000 - val_loss: 18.8125 - val_accuracy: 0.3518
Epoch 8584/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.5044e-07 - accuracy: 1.0000 - val_loss: 18.8142 - val_accuracy: 0.3519
Epoch 8585/10000
16/16 [==============================] - 1s 37ms/step - loss: 1.4925e-07 - accuracy: 1.0000 - val_loss: 18.8194 - val_accuracy: 0.3516
Epoch 8586/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.4853e-07 - accuracy: 1.0000 - val_loss: 18.8215 - val_accuracy: 0.3518
Epoch 8587/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.4782e-07 - accuracy: 1.0000 - val_loss: 18.8206 - val_accuracy: 0.3520
Epoch 8588/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.4615e-07 - accuracy: 1.0000 - val_loss: 18.8240 - val_accuracy: 0.3520
Epoch 8589/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.4472e-07 - accuracy: 1.0000 - val_loss: 18.8288 - val_accuracy: 0.3516
Epoch 8590/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.4377e-07 - accuracy: 1.0000 - val_loss: 18.8316 - val_accuracy: 0.3515
Epoch 8591/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.4257e-07 - accuracy: 1.0000 - val_loss: 18.8346 - val_accuracy: 0.3515
Epoch 8592/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.4234e-07 - accuracy: 1.0000 - val_loss: 18.8372 - val_accuracy: 0.3514
Epoch 8593/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.4162e-07 - accuracy: 1.0000 - val_loss: 18.8398 - val_accuracy: 0.3514
Epoch 8594/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.4019e-07 - accuracy: 1.0000 - val_loss: 18.8453 - val_accuracy: 0.3516
Epoch 8595/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.3947e-07 - accuracy: 1.0000 - val_loss: 18.8441 - val_accuracy: 0.3517
Epoch 8596/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.3924e-07 - accuracy: 1.0000 - val_loss: 18.8480 - val_accuracy: 0.3516
Epoch 8597/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.3757e-07 - accuracy: 1.0000 - val_loss: 18.8505 - val_accuracy: 0.3514
Epoch 8598/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.3733e-07 - accuracy: 1.0000 - val_loss: 18.8552 - val_accuracy: 0.3516
Epoch 8599/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.3614e-07 - accuracy: 1.0000 - val_loss: 18.8553 - val_accuracy: 0.3515
Epoch 8600/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.3351e-07 - accuracy: 1.0000 - val_loss: 18.8564 - val_accuracy: 0.3516
Epoch 8601/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.3328e-07 - accuracy: 1.0000 - val_loss: 18.8615 - val_accuracy: 0.3515
Epoch 8602/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.3161e-07 - accuracy: 1.0000 - val_loss: 18.8612 - val_accuracy: 0.3517
Epoch 8603/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.2994e-07 - accuracy: 1.0000 - val_loss: 18.8647 - val_accuracy: 0.3517
Epoch 8604/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.3041e-07 - accuracy: 1.0000 - val_loss: 18.8710 - val_accuracy: 0.3515
Epoch 8605/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.2851e-07 - accuracy: 1.0000 - val_loss: 18.8732 - val_accuracy: 0.3515
Epoch 8606/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.2803e-07 - accuracy: 1.0000 - val_loss: 18.8732 - val_accuracy: 0.3517
Epoch 8607/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.2684e-07 - accuracy: 1.0000 - val_loss: 18.8752 - val_accuracy: 0.3515
Epoch 8608/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.2636e-07 - accuracy: 1.0000 - val_loss: 18.8816 - val_accuracy: 0.3512
Epoch 8609/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.2541e-07 - accuracy: 1.0000 - val_loss: 18.8829 - val_accuracy: 0.3513
Epoch 8610/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.2445e-07 - accuracy: 1.0000 - val_loss: 18.8858 - val_accuracy: 0.3514
Epoch 8611/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.2231e-07 - accuracy: 1.0000 - val_loss: 18.8886 - val_accuracy: 0.3514
Epoch 8612/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.2422e-07 - accuracy: 1.0000 - val_loss: 18.8960 - val_accuracy: 0.3515
Epoch 8613/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.2302e-07 - accuracy: 1.0000 - val_loss: 18.8962 - val_accuracy: 0.3516
Epoch 8614/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.2088e-07 - accuracy: 1.0000 - val_loss: 18.8957 - val_accuracy: 0.3516
Epoch 8615/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.2064e-07 - accuracy: 1.0000 - val_loss: 18.9021 - val_accuracy: 0.3515
Epoch 8616/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.1992e-07 - accuracy: 1.0000 - val_loss: 18.9058 - val_accuracy: 0.3510
Epoch 8617/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.1873e-07 - accuracy: 1.0000 - val_loss: 18.9089 - val_accuracy: 0.3513
Epoch 8618/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.1897e-07 - accuracy: 1.0000 - val_loss: 18.9073 - val_accuracy: 0.3518
Epoch 8619/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.1754e-07 - accuracy: 1.0000 - val_loss: 18.9129 - val_accuracy: 0.3513
Epoch 8620/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.1706e-07 - accuracy: 1.0000 - val_loss: 18.9158 - val_accuracy: 0.3514
Epoch 8621/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.1635e-07 - accuracy: 1.0000 - val_loss: 18.9174 - val_accuracy: 0.3514
Epoch 8622/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.1539e-07 - accuracy: 1.0000 - val_loss: 18.9209 - val_accuracy: 0.3513
Epoch 8623/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.1373e-07 - accuracy: 1.0000 - val_loss: 18.9222 - val_accuracy: 0.3516
Epoch 8624/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.1396e-07 - accuracy: 1.0000 - val_loss: 18.9248 - val_accuracy: 0.3515
Epoch 8625/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.1206e-07 - accuracy: 1.0000 - val_loss: 18.9306 - val_accuracy: 0.3513
Epoch 8626/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.1110e-07 - accuracy: 1.0000 - val_loss: 18.9318 - val_accuracy: 0.3512
Epoch 8627/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.1230e-07 - accuracy: 1.0000 - val_loss: 18.9336 - val_accuracy: 0.3512
Epoch 8628/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.1110e-07 - accuracy: 1.0000 - val_loss: 18.9376 - val_accuracy: 0.3515
Epoch 8629/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0896e-07 - accuracy: 1.0000 - val_loss: 18.9388 - val_accuracy: 0.3514
Epoch 8630/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.0824e-07 - accuracy: 1.0000 - val_loss: 18.9436 - val_accuracy: 0.3512
Epoch 8631/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.0753e-07 - accuracy: 1.0000 - val_loss: 18.9479 - val_accuracy: 0.3512
Epoch 8632/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.0586e-07 - accuracy: 1.0000 - val_loss: 18.9485 - val_accuracy: 0.3514
Epoch 8633/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.0490e-07 - accuracy: 1.0000 - val_loss: 18.9507 - val_accuracy: 0.3515
Epoch 8634/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.0467e-07 - accuracy: 1.0000 - val_loss: 18.9520 - val_accuracy: 0.3515
Epoch 8635/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0371e-07 - accuracy: 1.0000 - val_loss: 18.9579 - val_accuracy: 0.3516
Epoch 8636/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0324e-07 - accuracy: 1.0000 - val_loss: 18.9579 - val_accuracy: 0.3518
Epoch 8637/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.0276e-07 - accuracy: 1.0000 - val_loss: 18.9607 - val_accuracy: 0.3516
Epoch 8638/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0180e-07 - accuracy: 1.0000 - val_loss: 18.9628 - val_accuracy: 0.3517
Epoch 8639/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.0228e-07 - accuracy: 1.0000 - val_loss: 18.9681 - val_accuracy: 0.3515
Epoch 8640/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.0180e-07 - accuracy: 1.0000 - val_loss: 18.9669 - val_accuracy: 0.3517
Epoch 8641/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.0085e-07 - accuracy: 1.0000 - val_loss: 18.9728 - val_accuracy: 0.3517
Epoch 8642/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.9659e-08 - accuracy: 1.0000 - val_loss: 18.9758 - val_accuracy: 0.3514
Epoch 8643/10000
16/16 [==============================] - 1s 41ms/step - loss: 9.8467e-08 - accuracy: 1.0000 - val_loss: 18.9766 - val_accuracy: 0.3516
Epoch 8644/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.7990e-08 - accuracy: 1.0000 - val_loss: 18.9807 - val_accuracy: 0.3519
Epoch 8645/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.7275e-08 - accuracy: 1.0000 - val_loss: 18.9860 - val_accuracy: 0.3517
Epoch 8646/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.6083e-08 - accuracy: 1.0000 - val_loss: 18.9876 - val_accuracy: 0.3519
Epoch 8647/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.5606e-08 - accuracy: 1.0000 - val_loss: 18.9926 - val_accuracy: 0.3519
Epoch 8648/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.5367e-08 - accuracy: 1.0000 - val_loss: 18.9929 - val_accuracy: 0.3519
Epoch 8649/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.5129e-08 - accuracy: 1.0000 - val_loss: 18.9952 - val_accuracy: 0.3518
Epoch 8650/10000
16/16 [==============================] - 1s 41ms/step - loss: 9.4175e-08 - accuracy: 1.0000 - val_loss: 18.9994 - val_accuracy: 0.3520
Epoch 8651/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.2983e-08 - accuracy: 1.0000 - val_loss: 19.0032 - val_accuracy: 0.3516
Epoch 8652/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.3698e-08 - accuracy: 1.0000 - val_loss: 19.0034 - val_accuracy: 0.3516
Epoch 8653/10000
16/16 [==============================] - 1s 38ms/step - loss: 9.2506e-08 - accuracy: 1.0000 - val_loss: 19.0038 - val_accuracy: 0.3517
Epoch 8654/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.3222e-08 - accuracy: 1.0000 - val_loss: 19.0106 - val_accuracy: 0.3519
Epoch 8655/10000
16/16 [==============================] - 1s 38ms/step - loss: 9.1314e-08 - accuracy: 1.0000 - val_loss: 19.0163 - val_accuracy: 0.3514
Epoch 8656/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.0361e-08 - accuracy: 1.0000 - val_loss: 19.0173 - val_accuracy: 0.3516
Epoch 8657/10000
16/16 [==============================] - 1s 38ms/step - loss: 9.1076e-08 - accuracy: 1.0000 - val_loss: 19.0177 - val_accuracy: 0.3518
Epoch 8658/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.9169e-08 - accuracy: 1.0000 - val_loss: 19.0211 - val_accuracy: 0.3516
Epoch 8659/10000
16/16 [==============================] - 1s 38ms/step - loss: 8.8692e-08 - accuracy: 1.0000 - val_loss: 19.0222 - val_accuracy: 0.3520
Epoch 8660/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.8692e-08 - accuracy: 1.0000 - val_loss: 19.0295 - val_accuracy: 0.3516
Epoch 8661/10000
16/16 [==============================] - 1s 38ms/step - loss: 8.7976e-08 - accuracy: 1.0000 - val_loss: 19.0297 - val_accuracy: 0.3514
Epoch 8662/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.7976e-08 - accuracy: 1.0000 - val_loss: 19.0317 - val_accuracy: 0.3518
Epoch 8663/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.6307e-08 - accuracy: 1.0000 - val_loss: 19.0363 - val_accuracy: 0.3515
Epoch 8664/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.6307e-08 - accuracy: 1.0000 - val_loss: 19.0404 - val_accuracy: 0.3517
Epoch 8665/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.6308e-08 - accuracy: 1.0000 - val_loss: 19.0405 - val_accuracy: 0.3516
Epoch 8666/10000
16/16 [==============================] - 1s 41ms/step - loss: 8.5354e-08 - accuracy: 1.0000 - val_loss: 19.0424 - val_accuracy: 0.3516
Epoch 8667/10000
16/16 [==============================] - 1s 38ms/step - loss: 8.4877e-08 - accuracy: 1.0000 - val_loss: 19.0485 - val_accuracy: 0.3517
Epoch 8668/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.3446e-08 - accuracy: 1.0000 - val_loss: 19.0484 - val_accuracy: 0.3519
Epoch 8669/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.3446e-08 - accuracy: 1.0000 - val_loss: 19.0510 - val_accuracy: 0.3517
Epoch 8670/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.3208e-08 - accuracy: 1.0000 - val_loss: 19.0550 - val_accuracy: 0.3518
Epoch 8671/10000
16/16 [==============================] - 1s 38ms/step - loss: 8.1301e-08 - accuracy: 1.0000 - val_loss: 19.0588 - val_accuracy: 0.3517
Epoch 8672/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.0347e-08 - accuracy: 1.0000 - val_loss: 19.0620 - val_accuracy: 0.3517
Epoch 8673/10000
16/16 [==============================] - 1s 38ms/step - loss: 8.0109e-08 - accuracy: 1.0000 - val_loss: 19.0624 - val_accuracy: 0.3521
Epoch 8674/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.0347e-08 - accuracy: 1.0000 - val_loss: 19.0656 - val_accuracy: 0.3521
Epoch 8675/10000
16/16 [==============================] - 1s 38ms/step - loss: 7.9155e-08 - accuracy: 1.0000 - val_loss: 19.0700 - val_accuracy: 0.3519
Epoch 8676/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.9155e-08 - accuracy: 1.0000 - val_loss: 19.0729 - val_accuracy: 0.3517
Epoch 8677/10000
16/16 [==============================] - 1s 38ms/step - loss: 7.9632e-08 - accuracy: 1.0000 - val_loss: 19.0755 - val_accuracy: 0.3519
Epoch 8678/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.8917e-08 - accuracy: 1.0000 - val_loss: 19.0791 - val_accuracy: 0.3516
Epoch 8679/10000
16/16 [==============================] - 1s 38ms/step - loss: 7.8201e-08 - accuracy: 1.0000 - val_loss: 19.0798 - val_accuracy: 0.3519
Epoch 8680/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.7486e-08 - accuracy: 1.0000 - val_loss: 19.0822 - val_accuracy: 0.3518
Epoch 8681/10000
16/16 [==============================] - 1s 38ms/step - loss: 7.5817e-08 - accuracy: 1.0000 - val_loss: 19.0850 - val_accuracy: 0.3519
Epoch 8682/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.5817e-08 - accuracy: 1.0000 - val_loss: 19.0896 - val_accuracy: 0.3518
Epoch 8683/10000
16/16 [==============================] - 1s 38ms/step - loss: 7.5579e-08 - accuracy: 1.0000 - val_loss: 19.0928 - val_accuracy: 0.3518
Epoch 8684/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.4625e-08 - accuracy: 1.0000 - val_loss: 19.0948 - val_accuracy: 0.3518
Epoch 8685/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.3194e-08 - accuracy: 1.0000 - val_loss: 19.0968 - val_accuracy: 0.3518
Epoch 8686/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.3433e-08 - accuracy: 1.0000 - val_loss: 19.0990 - val_accuracy: 0.3519
Epoch 8687/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.3194e-08 - accuracy: 1.0000 - val_loss: 19.1040 - val_accuracy: 0.3517
Epoch 8688/10000
16/16 [==============================] - 1s 41ms/step - loss: 7.2479e-08 - accuracy: 1.0000 - val_loss: 19.1062 - val_accuracy: 0.3515
Epoch 8689/10000
16/16 [==============================] - 1s 38ms/step - loss: 7.2002e-08 - accuracy: 1.0000 - val_loss: 19.1093 - val_accuracy: 0.3518
Epoch 8690/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.0810e-08 - accuracy: 1.0000 - val_loss: 19.1091 - val_accuracy: 0.3517
Epoch 8691/10000
16/16 [==============================] - 1s 38ms/step - loss: 7.0095e-08 - accuracy: 1.0000 - val_loss: 19.1168 - val_accuracy: 0.3517
Epoch 8692/10000
16/16 [==============================] - 1s 38ms/step - loss: 6.9857e-08 - accuracy: 1.0000 - val_loss: 19.1185 - val_accuracy: 0.3512
Epoch 8693/10000
16/16 [==============================] - 1s 38ms/step - loss: 6.9141e-08 - accuracy: 1.0000 - val_loss: 19.1219 - val_accuracy: 0.3515
Epoch 8694/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.8665e-08 - accuracy: 1.0000 - val_loss: 19.1221 - val_accuracy: 0.3517
Epoch 8695/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.8665e-08 - accuracy: 1.0000 - val_loss: 19.1289 - val_accuracy: 0.3514
Epoch 8696/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.7472e-08 - accuracy: 1.0000 - val_loss: 19.1288 - val_accuracy: 0.3516
Epoch 8697/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.7949e-08 - accuracy: 1.0000 - val_loss: 19.1297 - val_accuracy: 0.3516
Epoch 8698/10000
16/16 [==============================] - 1s 38ms/step - loss: 6.6519e-08 - accuracy: 1.0000 - val_loss: 19.1369 - val_accuracy: 0.3516
Epoch 8699/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.5804e-08 - accuracy: 1.0000 - val_loss: 19.1393 - val_accuracy: 0.3516
Epoch 8700/10000
16/16 [==============================] - 1s 38ms/step - loss: 6.6042e-08 - accuracy: 1.0000 - val_loss: 19.1415 - val_accuracy: 0.3518
Epoch 8701/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.5088e-08 - accuracy: 1.0000 - val_loss: 19.1443 - val_accuracy: 0.3518
Epoch 8702/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.5088e-08 - accuracy: 1.0000 - val_loss: 19.1480 - val_accuracy: 0.3518
Epoch 8703/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.4611e-08 - accuracy: 1.0000 - val_loss: 19.1507 - val_accuracy: 0.3518
Epoch 8704/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.4135e-08 - accuracy: 1.0000 - val_loss: 19.1499 - val_accuracy: 0.3520
Epoch 8705/10000
16/16 [==============================] - 1s 41ms/step - loss: 6.3658e-08 - accuracy: 1.0000 - val_loss: 19.1565 - val_accuracy: 0.3516
Epoch 8706/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.2227e-08 - accuracy: 1.0000 - val_loss: 19.1645 - val_accuracy: 0.3515
Epoch 8707/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.1512e-08 - accuracy: 1.0000 - val_loss: 19.1662 - val_accuracy: 0.3517
Epoch 8708/10000
16/16 [==============================] - 1s 37ms/step - loss: 6.1274e-08 - accuracy: 1.0000 - val_loss: 19.1691 - val_accuracy: 0.3517
Epoch 8709/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.0081e-08 - accuracy: 1.0000 - val_loss: 19.1696 - val_accuracy: 0.3518
Epoch 8710/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.0081e-08 - accuracy: 1.0000 - val_loss: 19.1752 - val_accuracy: 0.3517
Epoch 8711/10000
16/16 [==============================] - 1s 38ms/step - loss: 6.0081e-08 - accuracy: 1.0000 - val_loss: 19.1789 - val_accuracy: 0.3517
Epoch 8712/10000
16/16 [==============================] - 1s 41ms/step - loss: 6.0081e-08 - accuracy: 1.0000 - val_loss: 19.1756 - val_accuracy: 0.3519
Epoch 8713/10000
16/16 [==============================] - 1s 38ms/step - loss: 5.9843e-08 - accuracy: 1.0000 - val_loss: 19.1865 - val_accuracy: 0.3516
Epoch 8714/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.8651e-08 - accuracy: 1.0000 - val_loss: 19.1879 - val_accuracy: 0.3515
Epoch 8715/10000
16/16 [==============================] - 1s 38ms/step - loss: 5.8174e-08 - accuracy: 1.0000 - val_loss: 19.1922 - val_accuracy: 0.3515
Epoch 8716/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.7459e-08 - accuracy: 1.0000 - val_loss: 19.1973 - val_accuracy: 0.3515
Epoch 8717/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.7220e-08 - accuracy: 1.0000 - val_loss: 19.1999 - val_accuracy: 0.3515
Epoch 8718/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.6267e-08 - accuracy: 1.0000 - val_loss: 19.2034 - val_accuracy: 0.3514
Epoch 8719/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.6267e-08 - accuracy: 1.0000 - val_loss: 19.2068 - val_accuracy: 0.3512
Epoch 8720/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.6267e-08 - accuracy: 1.0000 - val_loss: 19.2126 - val_accuracy: 0.3516
Epoch 8721/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.5075e-08 - accuracy: 1.0000 - val_loss: 19.2135 - val_accuracy: 0.3516
Epoch 8722/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.6744e-08 - accuracy: 1.0000 - val_loss: 19.2187 - val_accuracy: 0.3514
Epoch 8723/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.4121e-08 - accuracy: 1.0000 - val_loss: 19.2210 - val_accuracy: 0.3516
Epoch 8724/10000
16/16 [==============================] - 1s 38ms/step - loss: 5.4121e-08 - accuracy: 1.0000 - val_loss: 19.2278 - val_accuracy: 0.3517
Epoch 8725/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.3406e-08 - accuracy: 1.0000 - val_loss: 19.2270 - val_accuracy: 0.3515
Epoch 8726/10000
16/16 [==============================] - 1s 38ms/step - loss: 5.3644e-08 - accuracy: 1.0000 - val_loss: 19.2281 - val_accuracy: 0.3517
Epoch 8727/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.2929e-08 - accuracy: 1.0000 - val_loss: 19.2344 - val_accuracy: 0.3514
Epoch 8728/10000
16/16 [==============================] - 1s 38ms/step - loss: 5.2452e-08 - accuracy: 1.0000 - val_loss: 19.2411 - val_accuracy: 0.3514
Epoch 8729/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.2929e-08 - accuracy: 1.0000 - val_loss: 19.2420 - val_accuracy: 0.3514
Epoch 8730/10000
16/16 [==============================] - 1s 38ms/step - loss: 5.2214e-08 - accuracy: 1.0000 - val_loss: 19.2492 - val_accuracy: 0.3519
Epoch 8731/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.1498e-08 - accuracy: 1.0000 - val_loss: 19.2529 - val_accuracy: 0.3518
Epoch 8732/10000
16/16 [==============================] - 1s 38ms/step - loss: 5.0545e-08 - accuracy: 1.0000 - val_loss: 19.2575 - val_accuracy: 0.3520
Epoch 8733/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.1022e-08 - accuracy: 1.0000 - val_loss: 19.2603 - val_accuracy: 0.3518
Epoch 8734/10000
16/16 [==============================] - 1s 38ms/step - loss: 5.0545e-08 - accuracy: 1.0000 - val_loss: 19.2670 - val_accuracy: 0.3519
Epoch 8735/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.0068e-08 - accuracy: 1.0000 - val_loss: 19.2733 - val_accuracy: 0.3516
Epoch 8736/10000
16/16 [==============================] - 1s 38ms/step - loss: 4.8876e-08 - accuracy: 1.0000 - val_loss: 19.2736 - val_accuracy: 0.3518
Epoch 8737/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.7207e-08 - accuracy: 1.0000 - val_loss: 19.2756 - val_accuracy: 0.3519
Epoch 8738/10000
16/16 [==============================] - 1s 38ms/step - loss: 4.8161e-08 - accuracy: 1.0000 - val_loss: 19.2825 - val_accuracy: 0.3521
Epoch 8739/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.6968e-08 - accuracy: 1.0000 - val_loss: 19.2887 - val_accuracy: 0.3521
Epoch 8740/10000
16/16 [==============================] - 1s 38ms/step - loss: 4.6015e-08 - accuracy: 1.0000 - val_loss: 19.2926 - val_accuracy: 0.3521
Epoch 8741/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.5776e-08 - accuracy: 1.0000 - val_loss: 19.2949 - val_accuracy: 0.3520
Epoch 8742/10000
16/16 [==============================] - 1s 38ms/step - loss: 4.6015e-08 - accuracy: 1.0000 - val_loss: 19.2951 - val_accuracy: 0.3520
Epoch 8743/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.6253e-08 - accuracy: 1.0000 - val_loss: 19.3030 - val_accuracy: 0.3520
Epoch 8744/10000
16/16 [==============================] - 1s 38ms/step - loss: 4.5538e-08 - accuracy: 1.0000 - val_loss: 19.3073 - val_accuracy: 0.3520
Epoch 8745/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.6015e-08 - accuracy: 1.0000 - val_loss: 19.3104 - val_accuracy: 0.3519
Epoch 8746/10000
16/16 [==============================] - 1s 38ms/step - loss: 4.5061e-08 - accuracy: 1.0000 - val_loss: 19.3117 - val_accuracy: 0.3520
Epoch 8747/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.4107e-08 - accuracy: 1.0000 - val_loss: 19.3163 - val_accuracy: 0.3520
Epoch 8748/10000
16/16 [==============================] - 1s 38ms/step - loss: 4.3869e-08 - accuracy: 1.0000 - val_loss: 19.3187 - val_accuracy: 0.3520
Epoch 8749/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.3869e-08 - accuracy: 1.0000 - val_loss: 19.3263 - val_accuracy: 0.3519
Epoch 8750/10000
16/16 [==============================] - 1s 37ms/step - loss: 4.2677e-08 - accuracy: 1.0000 - val_loss: 19.3313 - val_accuracy: 0.3520
Epoch 8751/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.2915e-08 - accuracy: 1.0000 - val_loss: 19.3290 - val_accuracy: 0.3519
Epoch 8752/10000
16/16 [==============================] - 1s 38ms/step - loss: 4.3154e-08 - accuracy: 1.0000 - val_loss: 19.3354 - val_accuracy: 0.3519
Epoch 8753/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.1485e-08 - accuracy: 1.0000 - val_loss: 19.3384 - val_accuracy: 0.3518
Epoch 8754/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.1723e-08 - accuracy: 1.0000 - val_loss: 19.3423 - val_accuracy: 0.3519
Epoch 8755/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.1723e-08 - accuracy: 1.0000 - val_loss: 19.3506 - val_accuracy: 0.3517
Epoch 8756/10000
16/16 [==============================] - 1s 38ms/step - loss: 4.0770e-08 - accuracy: 1.0000 - val_loss: 19.3541 - val_accuracy: 0.3520
Epoch 8757/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.0531e-08 - accuracy: 1.0000 - val_loss: 19.3580 - val_accuracy: 0.3520
Epoch 8758/10000
16/16 [==============================] - 1s 38ms/step - loss: 4.0054e-08 - accuracy: 1.0000 - val_loss: 19.3604 - val_accuracy: 0.3519
Epoch 8759/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.0531e-08 - accuracy: 1.0000 - val_loss: 19.3640 - val_accuracy: 0.3518
Epoch 8760/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.9816e-08 - accuracy: 1.0000 - val_loss: 19.3683 - val_accuracy: 0.3519
Epoch 8761/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.0054e-08 - accuracy: 1.0000 - val_loss: 19.3736 - val_accuracy: 0.3522
Epoch 8762/10000
16/16 [==============================] - 1s 38ms/step - loss: 3.9577e-08 - accuracy: 1.0000 - val_loss: 19.3790 - val_accuracy: 0.3520
Epoch 8763/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.9816e-08 - accuracy: 1.0000 - val_loss: 19.3845 - val_accuracy: 0.3518
Epoch 8764/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.9101e-08 - accuracy: 1.0000 - val_loss: 19.3811 - val_accuracy: 0.3518
Epoch 8765/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.8624e-08 - accuracy: 1.0000 - val_loss: 19.3899 - val_accuracy: 0.3515
Epoch 8766/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.9101e-08 - accuracy: 1.0000 - val_loss: 19.3902 - val_accuracy: 0.3515
Epoch 8767/10000
16/16 [==============================] - 1s 41ms/step - loss: 3.8147e-08 - accuracy: 1.0000 - val_loss: 19.4003 - val_accuracy: 0.3517
Epoch 8768/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.8624e-08 - accuracy: 1.0000 - val_loss: 19.4066 - val_accuracy: 0.3516
Epoch 8769/10000
16/16 [==============================] - 1s 41ms/step - loss: 3.6955e-08 - accuracy: 1.0000 - val_loss: 19.4081 - val_accuracy: 0.3518
Epoch 8770/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.6955e-08 - accuracy: 1.0000 - val_loss: 19.4107 - val_accuracy: 0.3515
Epoch 8771/10000
16/16 [==============================] - 1s 41ms/step - loss: 3.7193e-08 - accuracy: 1.0000 - val_loss: 19.4154 - val_accuracy: 0.3517
Epoch 8772/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.6240e-08 - accuracy: 1.0000 - val_loss: 19.4199 - val_accuracy: 0.3517
Epoch 8773/10000
16/16 [==============================] - 1s 42ms/step - loss: 3.6001e-08 - accuracy: 1.0000 - val_loss: 19.4266 - val_accuracy: 0.3516
Epoch 8774/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.5524e-08 - accuracy: 1.0000 - val_loss: 19.4298 - val_accuracy: 0.3515
Epoch 8775/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.5524e-08 - accuracy: 1.0000 - val_loss: 19.4371 - val_accuracy: 0.3515
Epoch 8776/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.5524e-08 - accuracy: 1.0000 - val_loss: 19.4395 - val_accuracy: 0.3516
Epoch 8777/10000
16/16 [==============================] - 1s 41ms/step - loss: 3.5286e-08 - accuracy: 1.0000 - val_loss: 19.4451 - val_accuracy: 0.3517
Epoch 8778/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.4094e-08 - accuracy: 1.0000 - val_loss: 19.4508 - val_accuracy: 0.3516
Epoch 8779/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.3617e-08 - accuracy: 1.0000 - val_loss: 19.4557 - val_accuracy: 0.3516
Epoch 8780/10000
16/16 [==============================] - 1s 38ms/step - loss: 3.3855e-08 - accuracy: 1.0000 - val_loss: 19.4618 - val_accuracy: 0.3516
Epoch 8781/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.3140e-08 - accuracy: 1.0000 - val_loss: 19.4624 - val_accuracy: 0.3515
Epoch 8782/10000
16/16 [==============================] - 1s 38ms/step - loss: 3.3379e-08 - accuracy: 1.0000 - val_loss: 19.4684 - val_accuracy: 0.3515
Epoch 8783/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.2902e-08 - accuracy: 1.0000 - val_loss: 19.4737 - val_accuracy: 0.3515
Epoch 8784/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.1948e-08 - accuracy: 1.0000 - val_loss: 19.4774 - val_accuracy: 0.3518
Epoch 8785/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.1471e-08 - accuracy: 1.0000 - val_loss: 19.4798 - val_accuracy: 0.3515
Epoch 8786/10000
16/16 [==============================] - 1s 38ms/step - loss: 3.2187e-08 - accuracy: 1.0000 - val_loss: 19.4848 - val_accuracy: 0.3514
Epoch 8787/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.1710e-08 - accuracy: 1.0000 - val_loss: 19.4918 - val_accuracy: 0.3516
Epoch 8788/10000
16/16 [==============================] - 1s 37ms/step - loss: 3.1233e-08 - accuracy: 1.0000 - val_loss: 19.4971 - val_accuracy: 0.3518
Epoch 8789/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.2187e-08 - accuracy: 1.0000 - val_loss: 19.4972 - val_accuracy: 0.3514
Epoch 8790/10000
16/16 [==============================] - 1s 38ms/step - loss: 3.0994e-08 - accuracy: 1.0000 - val_loss: 19.5056 - val_accuracy: 0.3514
Epoch 8791/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.0518e-08 - accuracy: 1.0000 - val_loss: 19.5107 - val_accuracy: 0.3514
Epoch 8792/10000
16/16 [==============================] - 1s 38ms/step - loss: 3.0756e-08 - accuracy: 1.0000 - val_loss: 19.5131 - val_accuracy: 0.3511
Epoch 8793/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.0756e-08 - accuracy: 1.0000 - val_loss: 19.5173 - val_accuracy: 0.3512
Epoch 8794/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.0518e-08 - accuracy: 1.0000 - val_loss: 19.5242 - val_accuracy: 0.3512
Epoch 8795/10000
16/16 [==============================] - 1s 38ms/step - loss: 2.9325e-08 - accuracy: 1.0000 - val_loss: 19.5293 - val_accuracy: 0.3513
Epoch 8796/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.9802e-08 - accuracy: 1.0000 - val_loss: 19.5330 - val_accuracy: 0.3511
Epoch 8797/10000
16/16 [==============================] - 1s 47ms/step - loss: 2.8610e-08 - accuracy: 1.0000 - val_loss: 19.5368 - val_accuracy: 0.3507
Epoch 8798/10000
16/16 [==============================] - 1s 47ms/step - loss: 2.8610e-08 - accuracy: 1.0000 - val_loss: 19.5414 - val_accuracy: 0.3508
Epoch 8799/10000
16/16 [==============================] - 1s 48ms/step - loss: 2.7657e-08 - accuracy: 1.0000 - val_loss: 19.5454 - val_accuracy: 0.3509
Epoch 8800/10000
16/16 [==============================] - 1s 47ms/step - loss: 2.7418e-08 - accuracy: 1.0000 - val_loss: 19.5490 - val_accuracy: 0.3506
Epoch 8801/10000
16/16 [==============================] - 1s 50ms/step - loss: 2.7180e-08 - accuracy: 1.0000 - val_loss: 19.5546 - val_accuracy: 0.3507
Epoch 8802/10000
16/16 [==============================] - 1s 49ms/step - loss: 2.6941e-08 - accuracy: 1.0000 - val_loss: 19.5607 - val_accuracy: 0.3507
Epoch 8803/10000
16/16 [==============================] - 1s 47ms/step - loss: 2.5988e-08 - accuracy: 1.0000 - val_loss: 19.5634 - val_accuracy: 0.3509
Epoch 8804/10000
16/16 [==============================] - 1s 48ms/step - loss: 2.5749e-08 - accuracy: 1.0000 - val_loss: 19.5682 - val_accuracy: 0.3506
Epoch 8805/10000
16/16 [==============================] - 1s 48ms/step - loss: 2.4796e-08 - accuracy: 1.0000 - val_loss: 19.5782 - val_accuracy: 0.3505
Epoch 8806/10000
16/16 [==============================] - 1s 47ms/step - loss: 2.4796e-08 - accuracy: 1.0000 - val_loss: 19.5860 - val_accuracy: 0.3507
Epoch 8807/10000
16/16 [==============================] - 1s 46ms/step - loss: 2.5034e-08 - accuracy: 1.0000 - val_loss: 19.5904 - val_accuracy: 0.3509
Epoch 8808/10000
16/16 [==============================] - 1s 48ms/step - loss: 2.4080e-08 - accuracy: 1.0000 - val_loss: 19.5958 - val_accuracy: 0.3507
Epoch 8809/10000
16/16 [==============================] - 1s 48ms/step - loss: 2.4557e-08 - accuracy: 1.0000 - val_loss: 19.6039 - val_accuracy: 0.3511
Epoch 8810/10000
16/16 [==============================] - 1s 42ms/step - loss: 2.4557e-08 - accuracy: 1.0000 - val_loss: 19.6070 - val_accuracy: 0.3510
Epoch 8811/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.3603e-08 - accuracy: 1.0000 - val_loss: 19.6141 - val_accuracy: 0.3507
Epoch 8812/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.3842e-08 - accuracy: 1.0000 - val_loss: 19.6197 - val_accuracy: 0.3507
Epoch 8813/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.3603e-08 - accuracy: 1.0000 - val_loss: 19.6228 - val_accuracy: 0.3507
Epoch 8814/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.3603e-08 - accuracy: 1.0000 - val_loss: 19.6268 - val_accuracy: 0.3505
Epoch 8815/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.3365e-08 - accuracy: 1.0000 - val_loss: 19.6367 - val_accuracy: 0.3506
Epoch 8816/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.3842e-08 - accuracy: 1.0000 - val_loss: 19.6419 - val_accuracy: 0.3503
Epoch 8817/10000
16/16 [==============================] - 1s 37ms/step - loss: 2.2888e-08 - accuracy: 1.0000 - val_loss: 19.6480 - val_accuracy: 0.3505
Epoch 8818/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.3127e-08 - accuracy: 1.0000 - val_loss: 19.6512 - val_accuracy: 0.3503
Epoch 8819/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.1935e-08 - accuracy: 1.0000 - val_loss: 19.6601 - val_accuracy: 0.3505
Epoch 8820/10000
16/16 [==============================] - 1s 38ms/step - loss: 2.2411e-08 - accuracy: 1.0000 - val_loss: 19.6651 - val_accuracy: 0.3503
Epoch 8821/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.2650e-08 - accuracy: 1.0000 - val_loss: 19.6687 - val_accuracy: 0.3502
Epoch 8822/10000
16/16 [==============================] - 1s 38ms/step - loss: 2.1935e-08 - accuracy: 1.0000 - val_loss: 19.6790 - val_accuracy: 0.3505
Epoch 8823/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.1935e-08 - accuracy: 1.0000 - val_loss: 19.6830 - val_accuracy: 0.3503
Epoch 8824/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.2173e-08 - accuracy: 1.0000 - val_loss: 19.6880 - val_accuracy: 0.3505
Epoch 8825/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.1935e-08 - accuracy: 1.0000 - val_loss: 19.6924 - val_accuracy: 0.3504
Epoch 8826/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.1458e-08 - accuracy: 1.0000 - val_loss: 19.6983 - val_accuracy: 0.3500
Epoch 8827/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.1935e-08 - accuracy: 1.0000 - val_loss: 19.7058 - val_accuracy: 0.3502
Epoch 8828/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.1696e-08 - accuracy: 1.0000 - val_loss: 19.7119 - val_accuracy: 0.3502
Epoch 8829/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.1219e-08 - accuracy: 1.0000 - val_loss: 19.7170 - val_accuracy: 0.3502
Epoch 8830/10000
16/16 [==============================] - 1s 38ms/step - loss: 2.2173e-08 - accuracy: 1.0000 - val_loss: 19.7249 - val_accuracy: 0.3502
Epoch 8831/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.0266e-08 - accuracy: 1.0000 - val_loss: 19.7261 - val_accuracy: 0.3497
Epoch 8832/10000
16/16 [==============================] - 1s 38ms/step - loss: 2.1696e-08 - accuracy: 1.0000 - val_loss: 19.7328 - val_accuracy: 0.3500
Epoch 8833/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.1219e-08 - accuracy: 1.0000 - val_loss: 19.7441 - val_accuracy: 0.3504
Epoch 8834/10000
16/16 [==============================] - 1s 38ms/step - loss: 2.0981e-08 - accuracy: 1.0000 - val_loss: 19.7463 - val_accuracy: 0.3502
Epoch 8835/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.0981e-08 - accuracy: 1.0000 - val_loss: 19.7528 - val_accuracy: 0.3501
Epoch 8836/10000
16/16 [==============================] - 1s 38ms/step - loss: 2.0504e-08 - accuracy: 1.0000 - val_loss: 19.7621 - val_accuracy: 0.3503
Epoch 8837/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.0981e-08 - accuracy: 1.0000 - val_loss: 19.7608 - val_accuracy: 0.3501
Epoch 8838/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.0266e-08 - accuracy: 1.0000 - val_loss: 19.7673 - val_accuracy: 0.3501
Epoch 8839/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.0266e-08 - accuracy: 1.0000 - val_loss: 19.7773 - val_accuracy: 0.3500
Epoch 8840/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.0027e-08 - accuracy: 1.0000 - val_loss: 19.7810 - val_accuracy: 0.3500
Epoch 8841/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.0027e-08 - accuracy: 1.0000 - val_loss: 19.7894 - val_accuracy: 0.3500
Epoch 8842/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.9789e-08 - accuracy: 1.0000 - val_loss: 19.7911 - val_accuracy: 0.3500
Epoch 8843/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.8597e-08 - accuracy: 1.0000 - val_loss: 19.7993 - val_accuracy: 0.3501
Epoch 8844/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.0027e-08 - accuracy: 1.0000 - val_loss: 19.8062 - val_accuracy: 0.3502
Epoch 8845/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.8835e-08 - accuracy: 1.0000 - val_loss: 19.8118 - val_accuracy: 0.3501
Epoch 8846/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.8358e-08 - accuracy: 1.0000 - val_loss: 19.8188 - val_accuracy: 0.3501
Epoch 8847/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.7643e-08 - accuracy: 1.0000 - val_loss: 19.8247 - val_accuracy: 0.3502
Epoch 8848/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.8120e-08 - accuracy: 1.0000 - val_loss: 19.8369 - val_accuracy: 0.3503
Epoch 8849/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.8597e-08 - accuracy: 1.0000 - val_loss: 19.8401 - val_accuracy: 0.3504
Epoch 8850/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.7881e-08 - accuracy: 1.0000 - val_loss: 19.8406 - val_accuracy: 0.3503
Epoch 8851/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.7643e-08 - accuracy: 1.0000 - val_loss: 19.8493 - val_accuracy: 0.3504
Epoch 8852/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.7405e-08 - accuracy: 1.0000 - val_loss: 19.8571 - val_accuracy: 0.3503
Epoch 8853/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.7405e-08 - accuracy: 1.0000 - val_loss: 19.8630 - val_accuracy: 0.3503
Epoch 8854/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.8835e-08 - accuracy: 1.0000 - val_loss: 19.8731 - val_accuracy: 0.3501
Epoch 8855/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.8120e-08 - accuracy: 1.0000 - val_loss: 19.8744 - val_accuracy: 0.3503
Epoch 8856/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.7643e-08 - accuracy: 1.0000 - val_loss: 19.8753 - val_accuracy: 0.3501
Epoch 8857/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.7643e-08 - accuracy: 1.0000 - val_loss: 19.8874 - val_accuracy: 0.3501
Epoch 8858/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.6212e-08 - accuracy: 1.0000 - val_loss: 19.8937 - val_accuracy: 0.3501
Epoch 8859/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.6928e-08 - accuracy: 1.0000 - val_loss: 19.8982 - val_accuracy: 0.3502
Epoch 8860/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.5974e-08 - accuracy: 1.0000 - val_loss: 19.9028 - val_accuracy: 0.3500
Epoch 8861/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.7166e-08 - accuracy: 1.0000 - val_loss: 19.9106 - val_accuracy: 0.3499
Epoch 8862/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.6451e-08 - accuracy: 1.0000 - val_loss: 19.9178 - val_accuracy: 0.3497
Epoch 8863/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.6451e-08 - accuracy: 1.0000 - val_loss: 19.9232 - val_accuracy: 0.3498
Epoch 8864/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.5974e-08 - accuracy: 1.0000 - val_loss: 19.9298 - val_accuracy: 0.3497
Epoch 8865/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.5736e-08 - accuracy: 1.0000 - val_loss: 19.9361 - val_accuracy: 0.3498
Epoch 8866/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.5259e-08 - accuracy: 1.0000 - val_loss: 19.9444 - val_accuracy: 0.3496
Epoch 8867/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.5259e-08 - accuracy: 1.0000 - val_loss: 19.9536 - val_accuracy: 0.3495
Epoch 8868/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.5259e-08 - accuracy: 1.0000 - val_loss: 19.9609 - val_accuracy: 0.3494
Epoch 8869/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.5497e-08 - accuracy: 1.0000 - val_loss: 19.9645 - val_accuracy: 0.3493
Epoch 8870/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.5736e-08 - accuracy: 1.0000 - val_loss: 19.9725 - val_accuracy: 0.3493
Epoch 8871/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.5497e-08 - accuracy: 1.0000 - val_loss: 19.9781 - val_accuracy: 0.3489
Epoch 8872/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.5497e-08 - accuracy: 1.0000 - val_loss: 19.9814 - val_accuracy: 0.3490
Epoch 8873/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.5259e-08 - accuracy: 1.0000 - val_loss: 19.9926 - val_accuracy: 0.3491
Epoch 8874/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.4782e-08 - accuracy: 1.0000 - val_loss: 19.9965 - val_accuracy: 0.3492
Epoch 8875/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.4067e-08 - accuracy: 1.0000 - val_loss: 20.0033 - val_accuracy: 0.3490
Epoch 8876/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.5497e-08 - accuracy: 1.0000 - val_loss: 20.0133 - val_accuracy: 0.3491
Epoch 8877/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.4544e-08 - accuracy: 1.0000 - val_loss: 20.0163 - val_accuracy: 0.3491
Epoch 8878/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.4067e-08 - accuracy: 1.0000 - val_loss: 20.0239 - val_accuracy: 0.3493
Epoch 8879/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.3590e-08 - accuracy: 1.0000 - val_loss: 20.0294 - val_accuracy: 0.3487
Epoch 8880/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.3828e-08 - accuracy: 1.0000 - val_loss: 20.0350 - val_accuracy: 0.3488
Epoch 8881/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.3828e-08 - accuracy: 1.0000 - val_loss: 20.0429 - val_accuracy: 0.3490
Epoch 8882/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.5020e-08 - accuracy: 1.0000 - val_loss: 20.0516 - val_accuracy: 0.3488
Epoch 8883/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.3590e-08 - accuracy: 1.0000 - val_loss: 20.0562 - val_accuracy: 0.3487
Epoch 8884/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.5020e-08 - accuracy: 1.0000 - val_loss: 20.0615 - val_accuracy: 0.3487
Epoch 8885/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.3113e-08 - accuracy: 1.0000 - val_loss: 20.0692 - val_accuracy: 0.3489
Epoch 8886/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.3351e-08 - accuracy: 1.0000 - val_loss: 20.0718 - val_accuracy: 0.3485
Epoch 8887/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.2875e-08 - accuracy: 1.0000 - val_loss: 20.0807 - val_accuracy: 0.3485
Epoch 8888/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.3590e-08 - accuracy: 1.0000 - val_loss: 20.0913 - val_accuracy: 0.3487
Epoch 8889/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.3113e-08 - accuracy: 1.0000 - val_loss: 20.0975 - val_accuracy: 0.3485
Epoch 8890/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.3590e-08 - accuracy: 1.0000 - val_loss: 20.1044 - val_accuracy: 0.3486
Epoch 8891/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.2636e-08 - accuracy: 1.0000 - val_loss: 20.1075 - val_accuracy: 0.3485
Epoch 8892/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.1921e-08 - accuracy: 1.0000 - val_loss: 20.1168 - val_accuracy: 0.3486
Epoch 8893/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.2875e-08 - accuracy: 1.0000 - val_loss: 20.1257 - val_accuracy: 0.3487
Epoch 8894/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.3590e-08 - accuracy: 1.0000 - val_loss: 20.1313 - val_accuracy: 0.3487
Epoch 8895/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.3113e-08 - accuracy: 1.0000 - val_loss: 20.1384 - val_accuracy: 0.3486
Epoch 8896/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.2398e-08 - accuracy: 1.0000 - val_loss: 20.1449 - val_accuracy: 0.3484
Epoch 8897/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.1921e-08 - accuracy: 1.0000 - val_loss: 20.1535 - val_accuracy: 0.3484
Epoch 8898/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.3351e-08 - accuracy: 1.0000 - val_loss: 20.1598 - val_accuracy: 0.3490
Epoch 8899/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.1921e-08 - accuracy: 1.0000 - val_loss: 20.1637 - val_accuracy: 0.3485
Epoch 8900/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.2159e-08 - accuracy: 1.0000 - val_loss: 20.1692 - val_accuracy: 0.3485
Epoch 8901/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.1444e-08 - accuracy: 1.0000 - val_loss: 20.1811 - val_accuracy: 0.3485
Epoch 8902/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.2159e-08 - accuracy: 1.0000 - val_loss: 20.1907 - val_accuracy: 0.3485
Epoch 8903/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.2398e-08 - accuracy: 1.0000 - val_loss: 20.1957 - val_accuracy: 0.3485
Epoch 8904/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.1444e-08 - accuracy: 1.0000 - val_loss: 20.1983 - val_accuracy: 0.3484
Epoch 8905/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.1206e-08 - accuracy: 1.0000 - val_loss: 20.2024 - val_accuracy: 0.3485
Epoch 8906/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.0967e-08 - accuracy: 1.0000 - val_loss: 20.2136 - val_accuracy: 0.3481
Epoch 8907/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0729e-08 - accuracy: 1.0000 - val_loss: 20.2275 - val_accuracy: 0.3486
Epoch 8908/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.2159e-08 - accuracy: 1.0000 - val_loss: 20.2277 - val_accuracy: 0.3485
Epoch 8909/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0252e-08 - accuracy: 1.0000 - val_loss: 20.2324 - val_accuracy: 0.3484
Epoch 8910/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.0729e-08 - accuracy: 1.0000 - val_loss: 20.2412 - val_accuracy: 0.3482
Epoch 8911/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0729e-08 - accuracy: 1.0000 - val_loss: 20.2507 - val_accuracy: 0.3486
Epoch 8912/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.1206e-08 - accuracy: 1.0000 - val_loss: 20.2556 - val_accuracy: 0.3485
Epoch 8913/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.0967e-08 - accuracy: 1.0000 - val_loss: 20.2651 - val_accuracy: 0.3486
Epoch 8914/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.0490e-08 - accuracy: 1.0000 - val_loss: 20.2701 - val_accuracy: 0.3485
Epoch 8915/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.0729e-08 - accuracy: 1.0000 - val_loss: 20.2779 - val_accuracy: 0.3484
Epoch 8916/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.0729e-08 - accuracy: 1.0000 - val_loss: 20.2858 - val_accuracy: 0.3483
Epoch 8917/10000
16/16 [==============================] - 1s 41ms/step - loss: 9.7752e-09 - accuracy: 1.0000 - val_loss: 20.2966 - val_accuracy: 0.3484
Epoch 8918/10000
16/16 [==============================] - 1s 38ms/step - loss: 9.7752e-09 - accuracy: 1.0000 - val_loss: 20.3052 - val_accuracy: 0.3484
Epoch 8919/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0490e-08 - accuracy: 1.0000 - val_loss: 20.3150 - val_accuracy: 0.3485
Epoch 8920/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.0014e-08 - accuracy: 1.0000 - val_loss: 20.3230 - val_accuracy: 0.3484
Epoch 8921/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.0014e-08 - accuracy: 1.0000 - val_loss: 20.3331 - val_accuracy: 0.3486
Epoch 8922/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0014e-08 - accuracy: 1.0000 - val_loss: 20.3430 - val_accuracy: 0.3485
Epoch 8923/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.0252e-08 - accuracy: 1.0000 - val_loss: 20.3524 - val_accuracy: 0.3484
Epoch 8924/10000
16/16 [==============================] - 1s 38ms/step - loss: 9.5367e-09 - accuracy: 1.0000 - val_loss: 20.3609 - val_accuracy: 0.3485
Epoch 8925/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.0252e-08 - accuracy: 1.0000 - val_loss: 20.3713 - val_accuracy: 0.3488
Epoch 8926/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.7752e-09 - accuracy: 1.0000 - val_loss: 20.3820 - val_accuracy: 0.3486
Epoch 8927/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.7752e-09 - accuracy: 1.0000 - val_loss: 20.3858 - val_accuracy: 0.3489
Epoch 8928/10000
16/16 [==============================] - 1s 38ms/step - loss: 9.0599e-09 - accuracy: 1.0000 - val_loss: 20.3972 - val_accuracy: 0.3487
Epoch 8929/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.8215e-09 - accuracy: 1.0000 - val_loss: 20.4117 - val_accuracy: 0.3489
Epoch 8930/10000
16/16 [==============================] - 1s 38ms/step - loss: 9.5367e-09 - accuracy: 1.0000 - val_loss: 20.4187 - val_accuracy: 0.3489
Epoch 8931/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.0599e-09 - accuracy: 1.0000 - val_loss: 20.4346 - val_accuracy: 0.3490
Epoch 8932/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.0490e-08 - accuracy: 1.0000 - val_loss: 20.4505 - val_accuracy: 0.3489
Epoch 8933/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.7752e-09 - accuracy: 1.0000 - val_loss: 20.4595 - val_accuracy: 0.3491
Epoch 8934/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.7752e-09 - accuracy: 1.0000 - val_loss: 20.4651 - val_accuracy: 0.3494
Epoch 8935/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.1062e-09 - accuracy: 1.0000 - val_loss: 20.4763 - val_accuracy: 0.3494
Epoch 8936/10000
16/16 [==============================] - 1s 38ms/step - loss: 8.3446e-09 - accuracy: 1.0000 - val_loss: 20.4892 - val_accuracy: 0.3494
Epoch 8937/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.0599e-09 - accuracy: 1.0000 - val_loss: 20.5013 - val_accuracy: 0.3497
Epoch 8938/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.5831e-09 - accuracy: 1.0000 - val_loss: 20.5111 - val_accuracy: 0.3497
Epoch 8939/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.2983e-09 - accuracy: 1.0000 - val_loss: 20.5211 - val_accuracy: 0.3498
Epoch 8940/10000
16/16 [==============================] - 1s 38ms/step - loss: 8.3446e-09 - accuracy: 1.0000 - val_loss: 20.5346 - val_accuracy: 0.3499
Epoch 8941/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.3446e-09 - accuracy: 1.0000 - val_loss: 20.5461 - val_accuracy: 0.3496
Epoch 8942/10000
16/16 [==============================] - 1s 38ms/step - loss: 8.5831e-09 - accuracy: 1.0000 - val_loss: 20.5585 - val_accuracy: 0.3498
Epoch 8943/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.1062e-09 - accuracy: 1.0000 - val_loss: 20.5726 - val_accuracy: 0.3498
Epoch 8944/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.8215e-09 - accuracy: 1.0000 - val_loss: 20.5827 - val_accuracy: 0.3498
Epoch 8945/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.5831e-09 - accuracy: 1.0000 - val_loss: 20.5949 - val_accuracy: 0.3496
Epoch 8946/10000
16/16 [==============================] - 1s 38ms/step - loss: 8.1062e-09 - accuracy: 1.0000 - val_loss: 20.6051 - val_accuracy: 0.3502
Epoch 8947/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.3446e-09 - accuracy: 1.0000 - val_loss: 20.6205 - val_accuracy: 0.3493
Epoch 8948/10000
16/16 [==============================] - 1s 38ms/step - loss: 8.1062e-09 - accuracy: 1.0000 - val_loss: 20.6345 - val_accuracy: 0.3496
Epoch 8949/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.6294e-09 - accuracy: 1.0000 - val_loss: 20.6516 - val_accuracy: 0.3495
Epoch 8950/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.6294e-09 - accuracy: 1.0000 - val_loss: 20.6636 - val_accuracy: 0.3495
Epoch 8951/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.3910e-09 - accuracy: 1.0000 - val_loss: 20.6762 - val_accuracy: 0.3498
Epoch 8952/10000
16/16 [==============================] - 1s 38ms/step - loss: 7.3910e-09 - accuracy: 1.0000 - val_loss: 20.6888 - val_accuracy: 0.3493
Epoch 8953/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.1526e-09 - accuracy: 1.0000 - val_loss: 20.7060 - val_accuracy: 0.3493
Epoch 8954/10000
16/16 [==============================] - 1s 37ms/step - loss: 7.8678e-09 - accuracy: 1.0000 - val_loss: 20.7187 - val_accuracy: 0.3495
Epoch 8955/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.6294e-09 - accuracy: 1.0000 - val_loss: 20.7307 - val_accuracy: 0.3493
Epoch 8956/10000
16/16 [==============================] - 1s 38ms/step - loss: 7.6294e-09 - accuracy: 1.0000 - val_loss: 20.7421 - val_accuracy: 0.3493
Epoch 8957/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.1526e-09 - accuracy: 1.0000 - val_loss: 20.7595 - val_accuracy: 0.3487
Epoch 8958/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.6294e-09 - accuracy: 1.0000 - val_loss: 20.7735 - val_accuracy: 0.3494
Epoch 8959/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.1526e-09 - accuracy: 1.0000 - val_loss: 20.7833 - val_accuracy: 0.3492
Epoch 8960/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.3910e-09 - accuracy: 1.0000 - val_loss: 20.8006 - val_accuracy: 0.3492
Epoch 8961/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.4373e-09 - accuracy: 1.0000 - val_loss: 20.8132 - val_accuracy: 0.3494
Epoch 8962/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.4373e-09 - accuracy: 1.0000 - val_loss: 20.8288 - val_accuracy: 0.3493
Epoch 8963/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.9141e-09 - accuracy: 1.0000 - val_loss: 20.8401 - val_accuracy: 0.3485
Epoch 8964/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.3910e-09 - accuracy: 1.0000 - val_loss: 20.8551 - val_accuracy: 0.3486
Epoch 8965/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.3910e-09 - accuracy: 1.0000 - val_loss: 20.8724 - val_accuracy: 0.3490
Epoch 8966/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.6294e-09 - accuracy: 1.0000 - val_loss: 20.8828 - val_accuracy: 0.3488
Epoch 8967/10000
16/16 [==============================] - 1s 41ms/step - loss: 6.4373e-09 - accuracy: 1.0000 - val_loss: 20.8963 - val_accuracy: 0.3488
Epoch 8968/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.3910e-09 - accuracy: 1.0000 - val_loss: 20.9063 - val_accuracy: 0.3496
Epoch 8969/10000
16/16 [==============================] - 1s 41ms/step - loss: 6.9141e-09 - accuracy: 1.0000 - val_loss: 20.9221 - val_accuracy: 0.3490
Epoch 8970/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.4373e-09 - accuracy: 1.0000 - val_loss: 20.9415 - val_accuracy: 0.3489
Epoch 8971/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.4373e-09 - accuracy: 1.0000 - val_loss: 20.9555 - val_accuracy: 0.3490
Epoch 8972/10000
16/16 [==============================] - 1s 38ms/step - loss: 5.9605e-09 - accuracy: 1.0000 - val_loss: 20.9754 - val_accuracy: 0.3492
Epoch 8973/10000
16/16 [==============================] - 1s 38ms/step - loss: 6.9141e-09 - accuracy: 1.0000 - val_loss: 20.9865 - val_accuracy: 0.3498
Epoch 8974/10000
16/16 [==============================] - 1s 38ms/step - loss: 6.4373e-09 - accuracy: 1.0000 - val_loss: 21.0033 - val_accuracy: 0.3495
Epoch 8975/10000
16/16 [==============================] - 1s 38ms/step - loss: 6.4373e-09 - accuracy: 1.0000 - val_loss: 21.0189 - val_accuracy: 0.3496
Epoch 8976/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.9605e-09 - accuracy: 1.0000 - val_loss: 21.0341 - val_accuracy: 0.3496
Epoch 8977/10000
16/16 [==============================] - 1s 38ms/step - loss: 6.1989e-09 - accuracy: 1.0000 - val_loss: 21.0488 - val_accuracy: 0.3496
Epoch 8978/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.9605e-09 - accuracy: 1.0000 - val_loss: 21.0651 - val_accuracy: 0.3493
Epoch 8979/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.4373e-09 - accuracy: 1.0000 - val_loss: 21.0901 - val_accuracy: 0.3493
Epoch 8980/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.9141e-09 - accuracy: 1.0000 - val_loss: 21.1006 - val_accuracy: 0.3495
Epoch 8981/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.4836e-09 - accuracy: 1.0000 - val_loss: 21.1160 - val_accuracy: 0.3492
Epoch 8982/10000
16/16 [==============================] - 1s 38ms/step - loss: 6.6757e-09 - accuracy: 1.0000 - val_loss: 21.1292 - val_accuracy: 0.3493
Epoch 8983/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.4373e-09 - accuracy: 1.0000 - val_loss: 21.1505 - val_accuracy: 0.3495
Epoch 8984/10000
16/16 [==============================] - 1s 38ms/step - loss: 5.9605e-09 - accuracy: 1.0000 - val_loss: 21.1633 - val_accuracy: 0.3494
Epoch 8985/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.9141e-09 - accuracy: 1.0000 - val_loss: 21.1808 - val_accuracy: 0.3496
Epoch 8986/10000
16/16 [==============================] - 1s 38ms/step - loss: 5.9605e-09 - accuracy: 1.0000 - val_loss: 21.1998 - val_accuracy: 0.3495
Epoch 8987/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.9605e-09 - accuracy: 1.0000 - val_loss: 21.2154 - val_accuracy: 0.3495
Epoch 8988/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.9605e-09 - accuracy: 1.0000 - val_loss: 21.2330 - val_accuracy: 0.3494
Epoch 8989/10000
16/16 [==============================] - 1s 38ms/step - loss: 5.4836e-09 - accuracy: 1.0000 - val_loss: 21.2527 - val_accuracy: 0.3494
Epoch 8990/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.1526e-09 - accuracy: 1.0000 - val_loss: 21.2731 - val_accuracy: 0.3496
Epoch 8991/10000
16/16 [==============================] - 1s 38ms/step - loss: 6.6757e-09 - accuracy: 1.0000 - val_loss: 21.2856 - val_accuracy: 0.3497
Epoch 8992/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.7220e-09 - accuracy: 1.0000 - val_loss: 21.3139 - val_accuracy: 0.3497
Epoch 8993/10000
16/16 [==============================] - 1s 38ms/step - loss: 5.9605e-09 - accuracy: 1.0000 - val_loss: 21.3266 - val_accuracy: 0.3497
Epoch 8994/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.9141e-09 - accuracy: 1.0000 - val_loss: 21.3464 - val_accuracy: 0.3500
Epoch 8995/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.3910e-09 - accuracy: 1.0000 - val_loss: 21.3511 - val_accuracy: 0.3497
Epoch 8996/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.7220e-09 - accuracy: 1.0000 - val_loss: 21.3680 - val_accuracy: 0.3498
Epoch 8997/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.7220e-09 - accuracy: 1.0000 - val_loss: 21.3957 - val_accuracy: 0.3497
Epoch 8998/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.4373e-09 - accuracy: 1.0000 - val_loss: 21.4080 - val_accuracy: 0.3500
Epoch 8999/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.1989e-09 - accuracy: 1.0000 - val_loss: 21.4224 - val_accuracy: 0.3498
Epoch 9000/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.7220e-09 - accuracy: 1.0000 - val_loss: 21.4423 - val_accuracy: 0.3496
Epoch 9001/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.6757e-09 - accuracy: 1.0000 - val_loss: 21.4648 - val_accuracy: 0.3496
Epoch 9002/10000
16/16 [==============================] - 1s 38ms/step - loss: 6.6757e-09 - accuracy: 1.0000 - val_loss: 21.4805 - val_accuracy: 0.3497
Epoch 9003/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.9605e-09 - accuracy: 1.0000 - val_loss: 21.5131 - val_accuracy: 0.3498
Epoch 9004/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.9141e-09 - accuracy: 1.0000 - val_loss: 21.5312 - val_accuracy: 0.3495
Epoch 9005/10000
16/16 [==============================] - 1s 38ms/step - loss: 6.9141e-09 - accuracy: 1.0000 - val_loss: 21.5477 - val_accuracy: 0.3496
Epoch 9006/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.1526e-09 - accuracy: 1.0000 - val_loss: 21.5677 - val_accuracy: 0.3496
Epoch 9007/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.1526e-09 - accuracy: 1.0000 - val_loss: 21.5891 - val_accuracy: 0.3494
Epoch 9008/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.6757e-09 - accuracy: 1.0000 - val_loss: 21.6013 - val_accuracy: 0.3498
Epoch 9009/10000
16/16 [==============================] - 1s 38ms/step - loss: 6.1989e-09 - accuracy: 1.0000 - val_loss: 21.6176 - val_accuracy: 0.3498
Epoch 9010/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.4373e-09 - accuracy: 1.0000 - val_loss: 21.6353 - val_accuracy: 0.3498
Epoch 9011/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.6757e-09 - accuracy: 1.0000 - val_loss: 21.6642 - val_accuracy: 0.3499
Epoch 9012/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.6757e-09 - accuracy: 1.0000 - val_loss: 21.6768 - val_accuracy: 0.3497
Epoch 9013/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.9605e-09 - accuracy: 1.0000 - val_loss: 21.7088 - val_accuracy: 0.3498
Epoch 9014/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.9141e-09 - accuracy: 1.0000 - val_loss: 21.7191 - val_accuracy: 0.3503
Epoch 9015/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.4373e-09 - accuracy: 1.0000 - val_loss: 21.7396 - val_accuracy: 0.3500
Epoch 9016/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.4373e-09 - accuracy: 1.0000 - val_loss: 21.7658 - val_accuracy: 0.3500
Epoch 9017/10000
16/16 [==============================] - 1s 42ms/step - loss: 6.4373e-09 - accuracy: 1.0000 - val_loss: 21.7974 - val_accuracy: 0.3500
Epoch 9018/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.3910e-09 - accuracy: 1.0000 - val_loss: 21.8080 - val_accuracy: 0.3501
Epoch 9019/10000
16/16 [==============================] - 1s 41ms/step - loss: 7.3910e-09 - accuracy: 1.0000 - val_loss: 21.8313 - val_accuracy: 0.3501
Epoch 9020/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.9141e-09 - accuracy: 1.0000 - val_loss: 21.8494 - val_accuracy: 0.3496
Epoch 9021/10000
16/16 [==============================] - 1s 41ms/step - loss: 6.1989e-09 - accuracy: 1.0000 - val_loss: 21.8750 - val_accuracy: 0.3500
Epoch 9022/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.9141e-09 - accuracy: 1.0000 - val_loss: 21.8933 - val_accuracy: 0.3496
Epoch 9023/10000
16/16 [==============================] - 1s 41ms/step - loss: 6.4373e-09 - accuracy: 1.0000 - val_loss: 21.9254 - val_accuracy: 0.3497
Epoch 9024/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.6757e-09 - accuracy: 1.0000 - val_loss: 21.9367 - val_accuracy: 0.3500
Epoch 9025/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.6294e-09 - accuracy: 1.0000 - val_loss: 21.9610 - val_accuracy: 0.3496
Epoch 9026/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.9141e-09 - accuracy: 1.0000 - val_loss: 21.9954 - val_accuracy: 0.3495
Epoch 9027/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.3910e-09 - accuracy: 1.0000 - val_loss: 22.0051 - val_accuracy: 0.3499
Epoch 9028/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.9141e-09 - accuracy: 1.0000 - val_loss: 22.0226 - val_accuracy: 0.3496
Epoch 9029/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.6294e-09 - accuracy: 1.0000 - val_loss: 22.0465 - val_accuracy: 0.3502
Epoch 9030/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.7220e-09 - accuracy: 1.0000 - val_loss: 22.0693 - val_accuracy: 0.3499
Epoch 9031/10000
16/16 [==============================] - 1s 38ms/step - loss: 6.9141e-09 - accuracy: 1.0000 - val_loss: 22.1083 - val_accuracy: 0.3497
Epoch 9032/10000
16/16 [==============================] - 1s 38ms/step - loss: 7.3910e-09 - accuracy: 1.0000 - val_loss: 22.1344 - val_accuracy: 0.3499
Epoch 9033/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.6757e-09 - accuracy: 1.0000 - val_loss: 22.1588 - val_accuracy: 0.3496
Epoch 9034/10000
16/16 [==============================] - 1s 38ms/step - loss: 7.3910e-09 - accuracy: 1.0000 - val_loss: 22.1735 - val_accuracy: 0.3492
Epoch 9035/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.1526e-09 - accuracy: 1.0000 - val_loss: 22.2086 - val_accuracy: 0.3491
Epoch 9036/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.6294e-09 - accuracy: 1.0000 - val_loss: 22.2369 - val_accuracy: 0.3493
Epoch 9037/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.3910e-09 - accuracy: 1.0000 - val_loss: 22.2332 - val_accuracy: 0.3494
Epoch 9038/10000
16/16 [==============================] - 1s 38ms/step - loss: 7.3910e-09 - accuracy: 1.0000 - val_loss: 22.2715 - val_accuracy: 0.3498
Epoch 9039/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.3910e-09 - accuracy: 1.0000 - val_loss: 22.3052 - val_accuracy: 0.3498
Epoch 9040/10000
16/16 [==============================] - 1s 38ms/step - loss: 7.3910e-09 - accuracy: 1.0000 - val_loss: 22.3110 - val_accuracy: 0.3502
Epoch 9041/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.9141e-09 - accuracy: 1.0000 - val_loss: 22.3361 - val_accuracy: 0.3495
Epoch 9042/10000
16/16 [==============================] - 1s 38ms/step - loss: 7.1526e-09 - accuracy: 1.0000 - val_loss: 22.3667 - val_accuracy: 0.3500
Epoch 9043/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.3910e-09 - accuracy: 1.0000 - val_loss: 22.3871 - val_accuracy: 0.3500
Epoch 9044/10000
16/16 [==============================] - 1s 37ms/step - loss: 7.1526e-09 - accuracy: 1.0000 - val_loss: 22.4075 - val_accuracy: 0.3500
Epoch 9045/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.3910e-09 - accuracy: 1.0000 - val_loss: 22.4409 - val_accuracy: 0.3493
Epoch 9046/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.1526e-09 - accuracy: 1.0000 - val_loss: 22.4620 - val_accuracy: 0.3494
Epoch 9047/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.1526e-09 - accuracy: 1.0000 - val_loss: 22.4981 - val_accuracy: 0.3488
Epoch 9048/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.3446e-09 - accuracy: 1.0000 - val_loss: 22.5121 - val_accuracy: 0.3484
Epoch 9049/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.6294e-09 - accuracy: 1.0000 - val_loss: 22.5260 - val_accuracy: 0.3486
Epoch 9050/10000
16/16 [==============================] - 1s 37ms/step - loss: 6.1989e-09 - accuracy: 1.0000 - val_loss: 22.5566 - val_accuracy: 0.3484
Epoch 9051/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.1526e-09 - accuracy: 1.0000 - val_loss: 22.5996 - val_accuracy: 0.3486
Epoch 9052/10000
16/16 [==============================] - 1s 38ms/step - loss: 7.8678e-09 - accuracy: 1.0000 - val_loss: 22.6061 - val_accuracy: 0.3487
Epoch 9053/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.3446e-09 - accuracy: 1.0000 - val_loss: 22.6453 - val_accuracy: 0.3487
Epoch 9054/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.1526e-09 - accuracy: 1.0000 - val_loss: 22.6514 - val_accuracy: 0.3490
Epoch 9055/10000
16/16 [==============================] - 1s 38ms/step - loss: 6.9141e-09 - accuracy: 1.0000 - val_loss: 22.6802 - val_accuracy: 0.3488
Epoch 9056/10000
16/16 [==============================] - 1s 38ms/step - loss: 7.6294e-09 - accuracy: 1.0000 - val_loss: 22.7182 - val_accuracy: 0.3494
Epoch 9057/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.3910e-09 - accuracy: 1.0000 - val_loss: 22.7249 - val_accuracy: 0.3485
Epoch 9058/10000
16/16 [==============================] - 1s 37ms/step - loss: 5.7220e-09 - accuracy: 1.0000 - val_loss: 22.7560 - val_accuracy: 0.3487
Epoch 9059/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.6757e-09 - accuracy: 1.0000 - val_loss: 22.7994 - val_accuracy: 0.3496
Epoch 9060/10000
16/16 [==============================] - 1s 38ms/step - loss: 8.8215e-09 - accuracy: 1.0000 - val_loss: 22.8371 - val_accuracy: 0.3490
Epoch 9061/10000
16/16 [==============================] - 1s 41ms/step - loss: 9.5367e-09 - accuracy: 1.0000 - val_loss: 22.8502 - val_accuracy: 0.3490
Epoch 9062/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.4373e-09 - accuracy: 1.0000 - val_loss: 22.8582 - val_accuracy: 0.3493
Epoch 9063/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.9141e-09 - accuracy: 1.0000 - val_loss: 22.8826 - val_accuracy: 0.3490
Epoch 9064/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.3446e-09 - accuracy: 1.0000 - val_loss: 22.9081 - val_accuracy: 0.3490
Epoch 9065/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.3446e-09 - accuracy: 1.0000 - val_loss: 22.9097 - val_accuracy: 0.3489
Epoch 9066/10000
16/16 [==============================] - 1s 38ms/step - loss: 5.9605e-09 - accuracy: 1.0000 - val_loss: 22.9617 - val_accuracy: 0.3485
Epoch 9067/10000
16/16 [==============================] - 1s 41ms/step - loss: 7.1526e-09 - accuracy: 1.0000 - val_loss: 22.9636 - val_accuracy: 0.3485
Epoch 9068/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.1526e-09 - accuracy: 1.0000 - val_loss: 23.0174 - val_accuracy: 0.3488
Epoch 9069/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.6757e-09 - accuracy: 1.0000 - val_loss: 23.0132 - val_accuracy: 0.3491
Epoch 9070/10000
16/16 [==============================] - 1s 38ms/step - loss: 6.1989e-09 - accuracy: 1.0000 - val_loss: 23.0522 - val_accuracy: 0.3491
Epoch 9071/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.3910e-09 - accuracy: 1.0000 - val_loss: 23.0902 - val_accuracy: 0.3488
Epoch 9072/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.8215e-09 - accuracy: 1.0000 - val_loss: 23.1009 - val_accuracy: 0.3488
Epoch 9073/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.4373e-09 - accuracy: 1.0000 - val_loss: 23.1256 - val_accuracy: 0.3491
Epoch 9074/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.5831e-09 - accuracy: 1.0000 - val_loss: 23.1784 - val_accuracy: 0.3490
Epoch 9075/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.3446e-09 - accuracy: 1.0000 - val_loss: 23.1392 - val_accuracy: 0.3489
Epoch 9076/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.6757e-09 - accuracy: 1.0000 - val_loss: 23.1935 - val_accuracy: 0.3491
Epoch 9077/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.3910e-09 - accuracy: 1.0000 - val_loss: 23.2189 - val_accuracy: 0.3485
Epoch 9078/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.1526e-09 - accuracy: 1.0000 - val_loss: 23.2302 - val_accuracy: 0.3485
Epoch 9079/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.1526e-09 - accuracy: 1.0000 - val_loss: 23.2478 - val_accuracy: 0.3483
Epoch 9080/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.9141e-09 - accuracy: 1.0000 - val_loss: 23.2930 - val_accuracy: 0.3487
Epoch 9081/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.6757e-09 - accuracy: 1.0000 - val_loss: 23.3042 - val_accuracy: 0.3481
Epoch 9082/10000
16/16 [==============================] - 1s 38ms/step - loss: 7.3910e-09 - accuracy: 1.0000 - val_loss: 23.3511 - val_accuracy: 0.3473
Epoch 9083/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.9141e-09 - accuracy: 1.0000 - val_loss: 23.3638 - val_accuracy: 0.3479
Epoch 9084/10000
16/16 [==============================] - 1s 38ms/step - loss: 7.8678e-09 - accuracy: 1.0000 - val_loss: 23.3826 - val_accuracy: 0.3479
Epoch 9085/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.1526e-09 - accuracy: 1.0000 - val_loss: 23.4230 - val_accuracy: 0.3477
Epoch 9086/10000
16/16 [==============================] - 1s 38ms/step - loss: 7.1526e-09 - accuracy: 1.0000 - val_loss: 23.4468 - val_accuracy: 0.3472
Epoch 9087/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.1989e-09 - accuracy: 1.0000 - val_loss: 23.4622 - val_accuracy: 0.3473
Epoch 9088/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.8678e-09 - accuracy: 1.0000 - val_loss: 23.4945 - val_accuracy: 0.3480
Epoch 9089/10000
16/16 [==============================] - 1s 38ms/step - loss: 7.6294e-09 - accuracy: 1.0000 - val_loss: 23.5101 - val_accuracy: 0.3477
Epoch 9090/10000
16/16 [==============================] - 1s 38ms/step - loss: 8.5831e-09 - accuracy: 1.0000 - val_loss: 23.5448 - val_accuracy: 0.3480
Epoch 9091/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.1989e-09 - accuracy: 1.0000 - val_loss: 23.5373 - val_accuracy: 0.3483
Epoch 9092/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.7220e-09 - accuracy: 1.0000 - val_loss: 23.5951 - val_accuracy: 0.3480
Epoch 9093/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.3910e-09 - accuracy: 1.0000 - val_loss: 23.6202 - val_accuracy: 0.3479
Epoch 9094/10000
16/16 [==============================] - 1s 38ms/step - loss: 8.5831e-09 - accuracy: 1.0000 - val_loss: 23.6548 - val_accuracy: 0.3480
Epoch 9095/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.1526e-09 - accuracy: 1.0000 - val_loss: 23.6754 - val_accuracy: 0.3478
Epoch 9096/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.4373e-09 - accuracy: 1.0000 - val_loss: 23.7313 - val_accuracy: 0.3474
Epoch 9097/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.8678e-09 - accuracy: 1.0000 - val_loss: 23.7393 - val_accuracy: 0.3469
Epoch 9098/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.0599e-09 - accuracy: 1.0000 - val_loss: 23.7703 - val_accuracy: 0.3474
Epoch 9099/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.9141e-09 - accuracy: 1.0000 - val_loss: 23.8038 - val_accuracy: 0.3468
Epoch 9100/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.3910e-09 - accuracy: 1.0000 - val_loss: 23.8257 - val_accuracy: 0.3470
Epoch 9101/10000
16/16 [==============================] - 1s 38ms/step - loss: 7.8678e-09 - accuracy: 1.0000 - val_loss: 23.8576 - val_accuracy: 0.3468
Epoch 9102/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.3446e-09 - accuracy: 1.0000 - val_loss: 23.8841 - val_accuracy: 0.3462
Epoch 9103/10000
16/16 [==============================] - 1s 38ms/step - loss: 6.1989e-09 - accuracy: 1.0000 - val_loss: 23.9202 - val_accuracy: 0.3463
Epoch 9104/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.8678e-09 - accuracy: 1.0000 - val_loss: 23.9533 - val_accuracy: 0.3469
Epoch 9105/10000
16/16 [==============================] - 1s 38ms/step - loss: 9.0599e-09 - accuracy: 1.0000 - val_loss: 23.9819 - val_accuracy: 0.3464
Epoch 9106/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.0599e-09 - accuracy: 1.0000 - val_loss: 23.9959 - val_accuracy: 0.3462
Epoch 9107/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.8678e-09 - accuracy: 1.0000 - val_loss: 24.0487 - val_accuracy: 0.3460
Epoch 9108/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.1062e-09 - accuracy: 1.0000 - val_loss: 24.0718 - val_accuracy: 0.3452
Epoch 9109/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.9141e-09 - accuracy: 1.0000 - val_loss: 24.1091 - val_accuracy: 0.3462
Epoch 9110/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.1526e-09 - accuracy: 1.0000 - val_loss: 24.1643 - val_accuracy: 0.3455
Epoch 9111/10000
16/16 [==============================] - 1s 38ms/step - loss: 9.2983e-09 - accuracy: 1.0000 - val_loss: 24.1971 - val_accuracy: 0.3455
Epoch 9112/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.1062e-09 - accuracy: 1.0000 - val_loss: 24.2412 - val_accuracy: 0.3459
Epoch 9113/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.2983e-09 - accuracy: 1.0000 - val_loss: 24.2462 - val_accuracy: 0.3452
Epoch 9114/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.6294e-09 - accuracy: 1.0000 - val_loss: 24.2656 - val_accuracy: 0.3455
Epoch 9115/10000
16/16 [==============================] - 1s 38ms/step - loss: 9.2983e-09 - accuracy: 1.0000 - val_loss: 24.3067 - val_accuracy: 0.3455
Epoch 9116/10000
16/16 [==============================] - 1s 41ms/step - loss: 8.8215e-09 - accuracy: 1.0000 - val_loss: 24.3612 - val_accuracy: 0.3449
Epoch 9117/10000
16/16 [==============================] - 1s 38ms/step - loss: 8.3446e-09 - accuracy: 1.0000 - val_loss: 24.3754 - val_accuracy: 0.3456
Epoch 9118/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.9141e-09 - accuracy: 1.0000 - val_loss: 24.4030 - val_accuracy: 0.3450
Epoch 9119/10000
16/16 [==============================] - 1s 38ms/step - loss: 8.3446e-09 - accuracy: 1.0000 - val_loss: 24.4550 - val_accuracy: 0.3447
Epoch 9120/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.0599e-09 - accuracy: 1.0000 - val_loss: 24.4830 - val_accuracy: 0.3449
Epoch 9121/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.8678e-09 - accuracy: 1.0000 - val_loss: 24.5313 - val_accuracy: 0.3446
Epoch 9122/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0490e-08 - accuracy: 1.0000 - val_loss: 24.5818 - val_accuracy: 0.3449
Epoch 9123/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.8215e-09 - accuracy: 1.0000 - val_loss: 24.5908 - val_accuracy: 0.3450
Epoch 9124/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.5367e-09 - accuracy: 1.0000 - val_loss: 24.6533 - val_accuracy: 0.3453
Epoch 9125/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.0014e-08 - accuracy: 1.0000 - val_loss: 24.6888 - val_accuracy: 0.3449
Epoch 9126/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.5367e-09 - accuracy: 1.0000 - val_loss: 24.7378 - val_accuracy: 0.3458
Epoch 9127/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.2159e-08 - accuracy: 1.0000 - val_loss: 24.7238 - val_accuracy: 0.3449
Epoch 9128/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.0599e-09 - accuracy: 1.0000 - val_loss: 24.7642 - val_accuracy: 0.3452
Epoch 9129/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.1062e-09 - accuracy: 1.0000 - val_loss: 24.8090 - val_accuracy: 0.3454
Epoch 9130/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.5367e-09 - accuracy: 1.0000 - val_loss: 24.8753 - val_accuracy: 0.3449
Epoch 9131/10000
16/16 [==============================] - 1s 38ms/step - loss: 9.7752e-09 - accuracy: 1.0000 - val_loss: 24.9273 - val_accuracy: 0.3452
Epoch 9132/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.5367e-09 - accuracy: 1.0000 - val_loss: 24.9720 - val_accuracy: 0.3452
Epoch 9133/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.2398e-08 - accuracy: 1.0000 - val_loss: 24.9898 - val_accuracy: 0.3456
Epoch 9134/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.5367e-09 - accuracy: 1.0000 - val_loss: 25.0057 - val_accuracy: 0.3458
Epoch 9135/10000
16/16 [==============================] - 1s 38ms/step - loss: 8.5831e-09 - accuracy: 1.0000 - val_loss: 25.0659 - val_accuracy: 0.3454
Epoch 9136/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.2159e-08 - accuracy: 1.0000 - val_loss: 25.1407 - val_accuracy: 0.3457
Epoch 9137/10000
16/16 [==============================] - 1s 37ms/step - loss: 1.0252e-08 - accuracy: 1.0000 - val_loss: 25.1513 - val_accuracy: 0.3455
Epoch 9138/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.2398e-08 - accuracy: 1.0000 - val_loss: 25.2056 - val_accuracy: 0.3454
Epoch 9139/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.1206e-08 - accuracy: 1.0000 - val_loss: 25.2463 - val_accuracy: 0.3458
Epoch 9140/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.7752e-09 - accuracy: 1.0000 - val_loss: 25.2809 - val_accuracy: 0.3457
Epoch 9141/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0014e-08 - accuracy: 1.0000 - val_loss: 25.3441 - val_accuracy: 0.3456
Epoch 9142/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.4067e-08 - accuracy: 1.0000 - val_loss: 25.3736 - val_accuracy: 0.3443
Epoch 9143/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.2159e-08 - accuracy: 1.0000 - val_loss: 25.3965 - val_accuracy: 0.3450
Epoch 9144/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.0967e-08 - accuracy: 1.0000 - val_loss: 25.4412 - val_accuracy: 0.3446
Epoch 9145/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.5367e-09 - accuracy: 1.0000 - val_loss: 25.4344 - val_accuracy: 0.3451
Epoch 9146/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.0967e-08 - accuracy: 1.0000 - val_loss: 25.4865 - val_accuracy: 0.3454
Epoch 9147/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.0014e-08 - accuracy: 1.0000 - val_loss: 25.5555 - val_accuracy: 0.3453
Epoch 9148/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.2398e-08 - accuracy: 1.0000 - val_loss: 25.5881 - val_accuracy: 0.3449
Epoch 9149/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.6451e-08 - accuracy: 1.0000 - val_loss: 25.6825 - val_accuracy: 0.3456
Epoch 9150/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.2636e-08 - accuracy: 1.0000 - val_loss: 25.6499 - val_accuracy: 0.3448
Epoch 9151/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.1921e-08 - accuracy: 1.0000 - val_loss: 25.5693 - val_accuracy: 0.3446
Epoch 9152/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.3590e-08 - accuracy: 1.0000 - val_loss: 25.7483 - val_accuracy: 0.3447
Epoch 9153/10000
16/16 [==============================] - 1s 42ms/step - loss: 9.2983e-09 - accuracy: 1.0000 - val_loss: 25.7354 - val_accuracy: 0.3450
Epoch 9154/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.5831e-09 - accuracy: 1.0000 - val_loss: 25.7831 - val_accuracy: 0.3448
Epoch 9155/10000
16/16 [==============================] - 1s 41ms/step - loss: 8.5831e-09 - accuracy: 1.0000 - val_loss: 25.8964 - val_accuracy: 0.3443
Epoch 9156/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.0490e-08 - accuracy: 1.0000 - val_loss: 25.9025 - val_accuracy: 0.3446
Epoch 9157/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.0729e-08 - accuracy: 1.0000 - val_loss: 25.9702 - val_accuracy: 0.3446
Epoch 9158/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.1683e-08 - accuracy: 1.0000 - val_loss: 25.9910 - val_accuracy: 0.3444
Epoch 9159/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.4544e-08 - accuracy: 1.0000 - val_loss: 25.9958 - val_accuracy: 0.3449
Epoch 9160/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.1444e-08 - accuracy: 1.0000 - val_loss: 26.0907 - val_accuracy: 0.3454
Epoch 9161/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.1921e-08 - accuracy: 1.0000 - val_loss: 26.0867 - val_accuracy: 0.3439
Epoch 9162/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.3351e-08 - accuracy: 1.0000 - val_loss: 26.1101 - val_accuracy: 0.3446
Epoch 9163/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.0729e-08 - accuracy: 1.0000 - val_loss: 26.2534 - val_accuracy: 0.3451
Epoch 9164/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.2159e-08 - accuracy: 1.0000 - val_loss: 26.2617 - val_accuracy: 0.3438
Epoch 9165/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.1683e-08 - accuracy: 1.0000 - val_loss: 26.2624 - val_accuracy: 0.3444
Epoch 9166/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0967e-08 - accuracy: 1.0000 - val_loss: 26.3316 - val_accuracy: 0.3442
Epoch 9167/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.8215e-09 - accuracy: 1.0000 - val_loss: 26.4399 - val_accuracy: 0.3444
Epoch 9168/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.2398e-08 - accuracy: 1.0000 - val_loss: 26.5071 - val_accuracy: 0.3437
Epoch 9169/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.5259e-08 - accuracy: 1.0000 - val_loss: 26.5184 - val_accuracy: 0.3450
Epoch 9170/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.2983e-09 - accuracy: 1.0000 - val_loss: 26.5514 - val_accuracy: 0.3450
Epoch 9171/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.0967e-08 - accuracy: 1.0000 - val_loss: 26.6361 - val_accuracy: 0.3435
Epoch 9172/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.5974e-08 - accuracy: 1.0000 - val_loss: 26.6201 - val_accuracy: 0.3445
Epoch 9173/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.2875e-08 - accuracy: 1.0000 - val_loss: 26.7305 - val_accuracy: 0.3438
Epoch 9174/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.0014e-08 - accuracy: 1.0000 - val_loss: 26.7318 - val_accuracy: 0.3442
Epoch 9175/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.1921e-08 - accuracy: 1.0000 - val_loss: 26.8564 - val_accuracy: 0.3435
Epoch 9176/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.3113e-08 - accuracy: 1.0000 - val_loss: 26.8811 - val_accuracy: 0.3436
Epoch 9177/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.5020e-08 - accuracy: 1.0000 - val_loss: 26.9171 - val_accuracy: 0.3443
Epoch 9178/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.5020e-08 - accuracy: 1.0000 - val_loss: 26.9024 - val_accuracy: 0.3437
Epoch 9179/10000
16/16 [==============================] - 1s 38ms/step - loss: 9.7752e-09 - accuracy: 1.0000 - val_loss: 27.0252 - val_accuracy: 0.3420
Epoch 9180/10000
16/16 [==============================] - 1s 41ms/step - loss: 8.5831e-09 - accuracy: 1.0000 - val_loss: 27.0404 - val_accuracy: 0.3445
Epoch 9181/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.6928e-08 - accuracy: 1.0000 - val_loss: 27.1330 - val_accuracy: 0.3445
Epoch 9182/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.6689e-08 - accuracy: 1.0000 - val_loss: 27.1407 - val_accuracy: 0.3420
Epoch 9183/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.7643e-08 - accuracy: 1.0000 - val_loss: 27.2528 - val_accuracy: 0.3417
Epoch 9184/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.5974e-08 - accuracy: 1.0000 - val_loss: 27.1935 - val_accuracy: 0.3420
Epoch 9185/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.2875e-08 - accuracy: 1.0000 - val_loss: 27.2844 - val_accuracy: 0.3439
Epoch 9186/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.4544e-08 - accuracy: 1.0000 - val_loss: 27.3430 - val_accuracy: 0.3427
Epoch 9187/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.0490e-08 - accuracy: 1.0000 - val_loss: 27.3957 - val_accuracy: 0.3425
Epoch 9188/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.0742e-08 - accuracy: 1.0000 - val_loss: 27.4436 - val_accuracy: 0.3415
Epoch 9189/10000
16/16 [==============================] - 1s 38ms/step - loss: 0.6125 - accuracy: 0.9560 - val_loss: 33.9626 - val_accuracy: 0.3138
Epoch 9190/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.3805 - accuracy: 0.8680 - val_loss: 23.9569 - val_accuracy: 0.3060
Epoch 9191/10000
16/16 [==============================] - 1s 38ms/step - loss: 0.8104 - accuracy: 0.8820 - val_loss: 18.9267 - val_accuracy: 0.3493
Epoch 9192/10000
16/16 [==============================] - 1s 40ms/step - loss: 0.5777 - accuracy: 0.9200 - val_loss: 18.5034 - val_accuracy: 0.3453
Epoch 9193/10000
16/16 [==============================] - 1s 39ms/step - loss: 0.1398 - accuracy: 0.9800 - val_loss: 18.9192 - val_accuracy: 0.3464
Epoch 9194/10000
16/16 [==============================] - 1s 40ms/step - loss: 0.0121 - accuracy: 0.9960 - val_loss: 18.3340 - val_accuracy: 0.3460
Epoch 9195/10000
16/16 [==============================] - 1s 38ms/step - loss: 0.0117 - accuracy: 0.9960 - val_loss: 18.6375 - val_accuracy: 0.3488
Epoch 9196/10000
16/16 [==============================] - 1s 39ms/step - loss: 0.0026 - accuracy: 0.9980 - val_loss: 18.3848 - val_accuracy: 0.3502
Epoch 9197/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.4162e-04 - accuracy: 1.0000 - val_loss: 18.3839 - val_accuracy: 0.3486
Epoch 9198/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0176e-04 - accuracy: 1.0000 - val_loss: 18.3924 - val_accuracy: 0.3472
Epoch 9199/10000
16/16 [==============================] - 1s 38ms/step - loss: 9.1363e-05 - accuracy: 1.0000 - val_loss: 18.4011 - val_accuracy: 0.3476
Epoch 9200/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.9875e-05 - accuracy: 1.0000 - val_loss: 18.4096 - val_accuracy: 0.3480
Epoch 9201/10000
16/16 [==============================] - 1s 38ms/step - loss: 7.1018e-05 - accuracy: 1.0000 - val_loss: 18.4157 - val_accuracy: 0.3479
Epoch 9202/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.4284e-05 - accuracy: 1.0000 - val_loss: 18.4199 - val_accuracy: 0.3481
Epoch 9203/10000
16/16 [==============================] - 1s 38ms/step - loss: 6.0419e-05 - accuracy: 1.0000 - val_loss: 18.4261 - val_accuracy: 0.3477
Epoch 9204/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.5382e-05 - accuracy: 1.0000 - val_loss: 18.4304 - val_accuracy: 0.3482
Epoch 9205/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.1943e-05 - accuracy: 1.0000 - val_loss: 18.4339 - val_accuracy: 0.3489
Epoch 9206/10000
16/16 [==============================] - 1s 41ms/step - loss: 4.9442e-05 - accuracy: 1.0000 - val_loss: 18.4387 - val_accuracy: 0.3490
Epoch 9207/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.6945e-05 - accuracy: 1.0000 - val_loss: 18.4417 - val_accuracy: 0.3496
Epoch 9208/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.5365e-05 - accuracy: 1.0000 - val_loss: 18.4458 - val_accuracy: 0.3494
Epoch 9209/10000
16/16 [==============================] - 1s 38ms/step - loss: 4.3290e-05 - accuracy: 1.0000 - val_loss: 18.4485 - val_accuracy: 0.3495
Epoch 9210/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.1637e-05 - accuracy: 1.0000 - val_loss: 18.4509 - val_accuracy: 0.3493
Epoch 9211/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.0390e-05 - accuracy: 1.0000 - val_loss: 18.4538 - val_accuracy: 0.3490
Epoch 9212/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.8879e-05 - accuracy: 1.0000 - val_loss: 18.4558 - val_accuracy: 0.3490
Epoch 9213/10000
16/16 [==============================] - 1s 38ms/step - loss: 3.7797e-05 - accuracy: 1.0000 - val_loss: 18.4580 - val_accuracy: 0.3487
Epoch 9214/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.6615e-05 - accuracy: 1.0000 - val_loss: 18.4608 - val_accuracy: 0.3487
Epoch 9215/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.5652e-05 - accuracy: 1.0000 - val_loss: 18.4640 - val_accuracy: 0.3488
Epoch 9216/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.4600e-05 - accuracy: 1.0000 - val_loss: 18.4665 - val_accuracy: 0.3489
Epoch 9217/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.3797e-05 - accuracy: 1.0000 - val_loss: 18.4683 - val_accuracy: 0.3488
Epoch 9218/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.2987e-05 - accuracy: 1.0000 - val_loss: 18.4710 - val_accuracy: 0.3493
Epoch 9219/10000
16/16 [==============================] - 1s 41ms/step - loss: 3.2204e-05 - accuracy: 1.0000 - val_loss: 18.4736 - val_accuracy: 0.3494
Epoch 9220/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.1389e-05 - accuracy: 1.0000 - val_loss: 18.4758 - val_accuracy: 0.3493
Epoch 9221/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.0719e-05 - accuracy: 1.0000 - val_loss: 18.4778 - val_accuracy: 0.3491
Epoch 9222/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.9978e-05 - accuracy: 1.0000 - val_loss: 18.4798 - val_accuracy: 0.3489
Epoch 9223/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.9408e-05 - accuracy: 1.0000 - val_loss: 18.4816 - val_accuracy: 0.3489
Epoch 9224/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.8786e-05 - accuracy: 1.0000 - val_loss: 18.4837 - val_accuracy: 0.3489
Epoch 9225/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.8248e-05 - accuracy: 1.0000 - val_loss: 18.4860 - val_accuracy: 0.3489
Epoch 9226/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.7704e-05 - accuracy: 1.0000 - val_loss: 18.4875 - val_accuracy: 0.3486
Epoch 9227/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.7145e-05 - accuracy: 1.0000 - val_loss: 18.4892 - val_accuracy: 0.3485
Epoch 9228/10000
16/16 [==============================] - 1s 38ms/step - loss: 2.6645e-05 - accuracy: 1.0000 - val_loss: 18.4916 - val_accuracy: 0.3485
Epoch 9229/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.6255e-05 - accuracy: 1.0000 - val_loss: 18.4936 - val_accuracy: 0.3484
Epoch 9230/10000
16/16 [==============================] - 1s 38ms/step - loss: 2.5732e-05 - accuracy: 1.0000 - val_loss: 18.4953 - val_accuracy: 0.3482
Epoch 9231/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.5266e-05 - accuracy: 1.0000 - val_loss: 18.4966 - val_accuracy: 0.3481
Epoch 9232/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.4816e-05 - accuracy: 1.0000 - val_loss: 18.4983 - val_accuracy: 0.3481
Epoch 9233/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.4513e-05 - accuracy: 1.0000 - val_loss: 18.5004 - val_accuracy: 0.3481
Epoch 9234/10000
16/16 [==============================] - 1s 37ms/step - loss: 2.4105e-05 - accuracy: 1.0000 - val_loss: 18.5018 - val_accuracy: 0.3481
Epoch 9235/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.3742e-05 - accuracy: 1.0000 - val_loss: 18.5032 - val_accuracy: 0.3482
Epoch 9236/10000
16/16 [==============================] - 1s 37ms/step - loss: 2.3354e-05 - accuracy: 1.0000 - val_loss: 18.5052 - val_accuracy: 0.3480
Epoch 9237/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.2992e-05 - accuracy: 1.0000 - val_loss: 18.5067 - val_accuracy: 0.3478
Epoch 9238/10000
16/16 [==============================] - 1s 37ms/step - loss: 2.2665e-05 - accuracy: 1.0000 - val_loss: 18.5082 - val_accuracy: 0.3479
Epoch 9239/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.2380e-05 - accuracy: 1.0000 - val_loss: 18.5099 - val_accuracy: 0.3479
Epoch 9240/10000
16/16 [==============================] - 1s 37ms/step - loss: 2.2043e-05 - accuracy: 1.0000 - val_loss: 18.5112 - val_accuracy: 0.3478
Epoch 9241/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.1757e-05 - accuracy: 1.0000 - val_loss: 18.5131 - val_accuracy: 0.3480
Epoch 9242/10000
16/16 [==============================] - 1s 37ms/step - loss: 2.1423e-05 - accuracy: 1.0000 - val_loss: 18.5144 - val_accuracy: 0.3481
Epoch 9243/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.1172e-05 - accuracy: 1.0000 - val_loss: 18.5159 - val_accuracy: 0.3485
Epoch 9244/10000
16/16 [==============================] - 1s 38ms/step - loss: 2.0854e-05 - accuracy: 1.0000 - val_loss: 18.5177 - val_accuracy: 0.3484
Epoch 9245/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.0640e-05 - accuracy: 1.0000 - val_loss: 18.5191 - val_accuracy: 0.3486
Epoch 9246/10000
16/16 [==============================] - 1s 38ms/step - loss: 2.0355e-05 - accuracy: 1.0000 - val_loss: 18.5204 - val_accuracy: 0.3486
Epoch 9247/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.0124e-05 - accuracy: 1.0000 - val_loss: 18.5222 - val_accuracy: 0.3487
Epoch 9248/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.9858e-05 - accuracy: 1.0000 - val_loss: 18.5235 - val_accuracy: 0.3487
Epoch 9249/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.9628e-05 - accuracy: 1.0000 - val_loss: 18.5255 - val_accuracy: 0.3488
Epoch 9250/10000
16/16 [==============================] - 1s 37ms/step - loss: 1.9376e-05 - accuracy: 1.0000 - val_loss: 18.5273 - val_accuracy: 0.3487
Epoch 9251/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.9140e-05 - accuracy: 1.0000 - val_loss: 18.5282 - val_accuracy: 0.3487
Epoch 9252/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.8950e-05 - accuracy: 1.0000 - val_loss: 18.5298 - val_accuracy: 0.3487
Epoch 9253/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.8741e-05 - accuracy: 1.0000 - val_loss: 18.5311 - val_accuracy: 0.3486
Epoch 9254/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.8527e-05 - accuracy: 1.0000 - val_loss: 18.5331 - val_accuracy: 0.3484
Epoch 9255/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.8311e-05 - accuracy: 1.0000 - val_loss: 18.5342 - val_accuracy: 0.3484
Epoch 9256/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.8072e-05 - accuracy: 1.0000 - val_loss: 18.5356 - val_accuracy: 0.3484
Epoch 9257/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.7948e-05 - accuracy: 1.0000 - val_loss: 18.5373 - val_accuracy: 0.3482
Epoch 9258/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.7706e-05 - accuracy: 1.0000 - val_loss: 18.5385 - val_accuracy: 0.3482
Epoch 9259/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.7529e-05 - accuracy: 1.0000 - val_loss: 18.5402 - val_accuracy: 0.3483
Epoch 9260/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.7351e-05 - accuracy: 1.0000 - val_loss: 18.5417 - val_accuracy: 0.3482
Epoch 9261/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.7184e-05 - accuracy: 1.0000 - val_loss: 18.5431 - val_accuracy: 0.3484
Epoch 9262/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.6977e-05 - accuracy: 1.0000 - val_loss: 18.5448 - val_accuracy: 0.3483
Epoch 9263/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.6827e-05 - accuracy: 1.0000 - val_loss: 18.5468 - val_accuracy: 0.3484
Epoch 9264/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.6640e-05 - accuracy: 1.0000 - val_loss: 18.5476 - val_accuracy: 0.3483
Epoch 9265/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.6509e-05 - accuracy: 1.0000 - val_loss: 18.5488 - val_accuracy: 0.3482
Epoch 9266/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.6325e-05 - accuracy: 1.0000 - val_loss: 18.5499 - val_accuracy: 0.3482
Epoch 9267/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.6188e-05 - accuracy: 1.0000 - val_loss: 18.5519 - val_accuracy: 0.3482
Epoch 9268/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.6046e-05 - accuracy: 1.0000 - val_loss: 18.5527 - val_accuracy: 0.3482
Epoch 9269/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.5872e-05 - accuracy: 1.0000 - val_loss: 18.5540 - val_accuracy: 0.3481
Epoch 9270/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.5722e-05 - accuracy: 1.0000 - val_loss: 18.5556 - val_accuracy: 0.3481
Epoch 9271/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.5568e-05 - accuracy: 1.0000 - val_loss: 18.5572 - val_accuracy: 0.3481
Epoch 9272/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.5450e-05 - accuracy: 1.0000 - val_loss: 18.5588 - val_accuracy: 0.3482
Epoch 9273/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.5297e-05 - accuracy: 1.0000 - val_loss: 18.5600 - val_accuracy: 0.3481
Epoch 9274/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.5200e-05 - accuracy: 1.0000 - val_loss: 18.5607 - val_accuracy: 0.3481
Epoch 9275/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.5027e-05 - accuracy: 1.0000 - val_loss: 18.5624 - val_accuracy: 0.3481
Epoch 9276/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.4913e-05 - accuracy: 1.0000 - val_loss: 18.5638 - val_accuracy: 0.3480
Epoch 9277/10000
16/16 [==============================] - 1s 44ms/step - loss: 1.4759e-05 - accuracy: 1.0000 - val_loss: 18.5651 - val_accuracy: 0.3481
Epoch 9278/10000
16/16 [==============================] - 1s 44ms/step - loss: 1.4681e-05 - accuracy: 1.0000 - val_loss: 18.5661 - val_accuracy: 0.3480
Epoch 9279/10000
16/16 [==============================] - 1s 45ms/step - loss: 1.4551e-05 - accuracy: 1.0000 - val_loss: 18.5679 - val_accuracy: 0.3480
Epoch 9280/10000
16/16 [==============================] - 1s 43ms/step - loss: 1.4411e-05 - accuracy: 1.0000 - val_loss: 18.5690 - val_accuracy: 0.3478
Epoch 9281/10000
16/16 [==============================] - 1s 45ms/step - loss: 1.4290e-05 - accuracy: 1.0000 - val_loss: 18.5705 - val_accuracy: 0.3478
Epoch 9282/10000
16/16 [==============================] - 1s 48ms/step - loss: 1.4162e-05 - accuracy: 1.0000 - val_loss: 18.5715 - val_accuracy: 0.3479
Epoch 9283/10000
16/16 [==============================] - 1s 49ms/step - loss: 1.4046e-05 - accuracy: 1.0000 - val_loss: 18.5726 - val_accuracy: 0.3480
Epoch 9284/10000
16/16 [==============================] - 1s 47ms/step - loss: 1.3938e-05 - accuracy: 1.0000 - val_loss: 18.5739 - val_accuracy: 0.3479
Epoch 9285/10000
16/16 [==============================] - 1s 45ms/step - loss: 1.3874e-05 - accuracy: 1.0000 - val_loss: 18.5753 - val_accuracy: 0.3479
Epoch 9286/10000
16/16 [==============================] - 1s 47ms/step - loss: 1.3723e-05 - accuracy: 1.0000 - val_loss: 18.5768 - val_accuracy: 0.3479
Epoch 9287/10000
16/16 [==============================] - 1s 46ms/step - loss: 1.3598e-05 - accuracy: 1.0000 - val_loss: 18.5782 - val_accuracy: 0.3480
Epoch 9288/10000
16/16 [==============================] - 1s 47ms/step - loss: 1.3497e-05 - accuracy: 1.0000 - val_loss: 18.5793 - val_accuracy: 0.3480
Epoch 9289/10000
16/16 [==============================] - 1s 47ms/step - loss: 1.3411e-05 - accuracy: 1.0000 - val_loss: 18.5808 - val_accuracy: 0.3480
Epoch 9290/10000
16/16 [==============================] - 1s 46ms/step - loss: 1.3283e-05 - accuracy: 1.0000 - val_loss: 18.5818 - val_accuracy: 0.3480
Epoch 9291/10000
16/16 [==============================] - 1s 46ms/step - loss: 1.3195e-05 - accuracy: 1.0000 - val_loss: 18.5830 - val_accuracy: 0.3479
Epoch 9292/10000
16/16 [==============================] - 1s 46ms/step - loss: 1.3095e-05 - accuracy: 1.0000 - val_loss: 18.5840 - val_accuracy: 0.3479
Epoch 9293/10000
16/16 [==============================] - 1s 48ms/step - loss: 1.3010e-05 - accuracy: 1.0000 - val_loss: 18.5853 - val_accuracy: 0.3478
Epoch 9294/10000
16/16 [==============================] - 1s 47ms/step - loss: 1.2886e-05 - accuracy: 1.0000 - val_loss: 18.5867 - val_accuracy: 0.3479
Epoch 9295/10000
16/16 [==============================] - 1s 48ms/step - loss: 1.2793e-05 - accuracy: 1.0000 - val_loss: 18.5877 - val_accuracy: 0.3479
Epoch 9296/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.2698e-05 - accuracy: 1.0000 - val_loss: 18.5887 - val_accuracy: 0.3479
Epoch 9297/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.2618e-05 - accuracy: 1.0000 - val_loss: 18.5902 - val_accuracy: 0.3479
Epoch 9298/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.2519e-05 - accuracy: 1.0000 - val_loss: 18.5914 - val_accuracy: 0.3479
Epoch 9299/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.2425e-05 - accuracy: 1.0000 - val_loss: 18.5922 - val_accuracy: 0.3480
Epoch 9300/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.2333e-05 - accuracy: 1.0000 - val_loss: 18.5936 - val_accuracy: 0.3479
Epoch 9301/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.2282e-05 - accuracy: 1.0000 - val_loss: 18.5951 - val_accuracy: 0.3481
Epoch 9302/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.2143e-05 - accuracy: 1.0000 - val_loss: 18.5958 - val_accuracy: 0.3481
Epoch 9303/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.2084e-05 - accuracy: 1.0000 - val_loss: 18.5974 - val_accuracy: 0.3481
Epoch 9304/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.1979e-05 - accuracy: 1.0000 - val_loss: 18.5983 - val_accuracy: 0.3482
Epoch 9305/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.1893e-05 - accuracy: 1.0000 - val_loss: 18.5994 - val_accuracy: 0.3483
Epoch 9306/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.1820e-05 - accuracy: 1.0000 - val_loss: 18.6007 - val_accuracy: 0.3482
Epoch 9307/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.1738e-05 - accuracy: 1.0000 - val_loss: 18.6015 - val_accuracy: 0.3483
Epoch 9308/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.1656e-05 - accuracy: 1.0000 - val_loss: 18.6028 - val_accuracy: 0.3482
Epoch 9309/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.1561e-05 - accuracy: 1.0000 - val_loss: 18.6039 - val_accuracy: 0.3482
Epoch 9310/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.1477e-05 - accuracy: 1.0000 - val_loss: 18.6054 - val_accuracy: 0.3482
Epoch 9311/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.1375e-05 - accuracy: 1.0000 - val_loss: 18.6065 - val_accuracy: 0.3482
Epoch 9312/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.1300e-05 - accuracy: 1.0000 - val_loss: 18.6074 - val_accuracy: 0.3482
Epoch 9313/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.1234e-05 - accuracy: 1.0000 - val_loss: 18.6083 - val_accuracy: 0.3483
Epoch 9314/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.1148e-05 - accuracy: 1.0000 - val_loss: 18.6094 - val_accuracy: 0.3480
Epoch 9315/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.1080e-05 - accuracy: 1.0000 - val_loss: 18.6102 - val_accuracy: 0.3484
Epoch 9316/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.1004e-05 - accuracy: 1.0000 - val_loss: 18.6112 - val_accuracy: 0.3483
Epoch 9317/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.0907e-05 - accuracy: 1.0000 - val_loss: 18.6124 - val_accuracy: 0.3482
Epoch 9318/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.0850e-05 - accuracy: 1.0000 - val_loss: 18.6136 - val_accuracy: 0.3482
Epoch 9319/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.0775e-05 - accuracy: 1.0000 - val_loss: 18.6142 - val_accuracy: 0.3483
Epoch 9320/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0693e-05 - accuracy: 1.0000 - val_loss: 18.6155 - val_accuracy: 0.3483
Epoch 9321/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0620e-05 - accuracy: 1.0000 - val_loss: 18.6169 - val_accuracy: 0.3483
Epoch 9322/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.0549e-05 - accuracy: 1.0000 - val_loss: 18.6177 - val_accuracy: 0.3483
Epoch 9323/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.0471e-05 - accuracy: 1.0000 - val_loss: 18.6186 - val_accuracy: 0.3484
Epoch 9324/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.0407e-05 - accuracy: 1.0000 - val_loss: 18.6202 - val_accuracy: 0.3484
Epoch 9325/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.0327e-05 - accuracy: 1.0000 - val_loss: 18.6211 - val_accuracy: 0.3483
Epoch 9326/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.0258e-05 - accuracy: 1.0000 - val_loss: 18.6224 - val_accuracy: 0.3483
Epoch 9327/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.0182e-05 - accuracy: 1.0000 - val_loss: 18.6234 - val_accuracy: 0.3482
Epoch 9328/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.0116e-05 - accuracy: 1.0000 - val_loss: 18.6241 - val_accuracy: 0.3482
Epoch 9329/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.0055e-05 - accuracy: 1.0000 - val_loss: 18.6252 - val_accuracy: 0.3482
Epoch 9330/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.9839e-06 - accuracy: 1.0000 - val_loss: 18.6267 - val_accuracy: 0.3482
Epoch 9331/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.9283e-06 - accuracy: 1.0000 - val_loss: 18.6274 - val_accuracy: 0.3481
Epoch 9332/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.8697e-06 - accuracy: 1.0000 - val_loss: 18.6285 - val_accuracy: 0.3481
Epoch 9333/10000
16/16 [==============================] - 1s 37ms/step - loss: 9.7994e-06 - accuracy: 1.0000 - val_loss: 18.6295 - val_accuracy: 0.3482
Epoch 9334/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.7171e-06 - accuracy: 1.0000 - val_loss: 18.6306 - val_accuracy: 0.3482
Epoch 9335/10000
16/16 [==============================] - 1s 38ms/step - loss: 9.6771e-06 - accuracy: 1.0000 - val_loss: 18.6321 - val_accuracy: 0.3482
Epoch 9336/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.5937e-06 - accuracy: 1.0000 - val_loss: 18.6333 - val_accuracy: 0.3480
Epoch 9337/10000
16/16 [==============================] - 1s 38ms/step - loss: 9.5331e-06 - accuracy: 1.0000 - val_loss: 18.6345 - val_accuracy: 0.3481
Epoch 9338/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.4735e-06 - accuracy: 1.0000 - val_loss: 18.6356 - val_accuracy: 0.3481
Epoch 9339/10000
16/16 [==============================] - 1s 38ms/step - loss: 9.4199e-06 - accuracy: 1.0000 - val_loss: 18.6369 - val_accuracy: 0.3481
Epoch 9340/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.3481e-06 - accuracy: 1.0000 - val_loss: 18.6377 - val_accuracy: 0.3482
Epoch 9341/10000
16/16 [==============================] - 1s 38ms/step - loss: 9.3004e-06 - accuracy: 1.0000 - val_loss: 18.6388 - val_accuracy: 0.3482
Epoch 9342/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.2180e-06 - accuracy: 1.0000 - val_loss: 18.6400 - val_accuracy: 0.3482
Epoch 9343/10000
16/16 [==============================] - 1s 38ms/step - loss: 9.1558e-06 - accuracy: 1.0000 - val_loss: 18.6408 - val_accuracy: 0.3482
Epoch 9344/10000
16/16 [==============================] - 1s 40ms/step - loss: 9.1009e-06 - accuracy: 1.0000 - val_loss: 18.6420 - val_accuracy: 0.3481
Epoch 9345/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.0370e-06 - accuracy: 1.0000 - val_loss: 18.6430 - val_accuracy: 0.3482
Epoch 9346/10000
16/16 [==============================] - 1s 39ms/step - loss: 9.0020e-06 - accuracy: 1.0000 - val_loss: 18.6442 - val_accuracy: 0.3482
Epoch 9347/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.9355e-06 - accuracy: 1.0000 - val_loss: 18.6449 - val_accuracy: 0.3482
Epoch 9348/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.8788e-06 - accuracy: 1.0000 - val_loss: 18.6462 - val_accuracy: 0.3482
Epoch 9349/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.8273e-06 - accuracy: 1.0000 - val_loss: 18.6467 - val_accuracy: 0.3482
Epoch 9350/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.7603e-06 - accuracy: 1.0000 - val_loss: 18.6479 - val_accuracy: 0.3481
Epoch 9351/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.7059e-06 - accuracy: 1.0000 - val_loss: 18.6490 - val_accuracy: 0.3480
Epoch 9352/10000
16/16 [==============================] - 1s 41ms/step - loss: 8.6487e-06 - accuracy: 1.0000 - val_loss: 18.6502 - val_accuracy: 0.3481
Epoch 9353/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.6020e-06 - accuracy: 1.0000 - val_loss: 18.6513 - val_accuracy: 0.3480
Epoch 9354/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.5341e-06 - accuracy: 1.0000 - val_loss: 18.6525 - val_accuracy: 0.3479
Epoch 9355/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.4826e-06 - accuracy: 1.0000 - val_loss: 18.6536 - val_accuracy: 0.3479
Epoch 9356/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.4311e-06 - accuracy: 1.0000 - val_loss: 18.6545 - val_accuracy: 0.3478
Epoch 9357/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.3765e-06 - accuracy: 1.0000 - val_loss: 18.6559 - val_accuracy: 0.3479
Epoch 9358/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.3231e-06 - accuracy: 1.0000 - val_loss: 18.6569 - val_accuracy: 0.3480
Epoch 9359/10000
16/16 [==============================] - 1s 40ms/step - loss: 8.2814e-06 - accuracy: 1.0000 - val_loss: 18.6577 - val_accuracy: 0.3479
Epoch 9360/10000
16/16 [==============================] - 1s 41ms/step - loss: 8.2196e-06 - accuracy: 1.0000 - val_loss: 18.6591 - val_accuracy: 0.3480
Epoch 9361/10000
16/16 [==============================] - 1s 39ms/step - loss: 8.1877e-06 - accuracy: 1.0000 - val_loss: 18.6604 - val_accuracy: 0.3479
Epoch 9362/10000
16/16 [==============================] - 1s 41ms/step - loss: 8.1314e-06 - accuracy: 1.0000 - val_loss: 18.6614 - val_accuracy: 0.3478
Epoch 9363/10000
16/16 [==============================] - 1s 38ms/step - loss: 8.0792e-06 - accuracy: 1.0000 - val_loss: 18.6621 - val_accuracy: 0.3479
Epoch 9364/10000
16/16 [==============================] - 1s 38ms/step - loss: 8.0244e-06 - accuracy: 1.0000 - val_loss: 18.6631 - val_accuracy: 0.3477
Epoch 9365/10000
16/16 [==============================] - 1s 41ms/step - loss: 7.9858e-06 - accuracy: 1.0000 - val_loss: 18.6646 - val_accuracy: 0.3477
Epoch 9366/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.9159e-06 - accuracy: 1.0000 - val_loss: 18.6659 - val_accuracy: 0.3476
Epoch 9367/10000
16/16 [==============================] - 1s 38ms/step - loss: 7.8730e-06 - accuracy: 1.0000 - val_loss: 18.6671 - val_accuracy: 0.3477
Epoch 9368/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.8223e-06 - accuracy: 1.0000 - val_loss: 18.6684 - val_accuracy: 0.3476
Epoch 9369/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.7705e-06 - accuracy: 1.0000 - val_loss: 18.6693 - val_accuracy: 0.3477
Epoch 9370/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.7376e-06 - accuracy: 1.0000 - val_loss: 18.6703 - val_accuracy: 0.3476
Epoch 9371/10000
16/16 [==============================] - 1s 41ms/step - loss: 7.6868e-06 - accuracy: 1.0000 - val_loss: 18.6715 - val_accuracy: 0.3477
Epoch 9372/10000
16/16 [==============================] - 1s 41ms/step - loss: 7.6580e-06 - accuracy: 1.0000 - val_loss: 18.6725 - val_accuracy: 0.3477
Epoch 9373/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.6036e-06 - accuracy: 1.0000 - val_loss: 18.6732 - val_accuracy: 0.3474
Epoch 9374/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.5405e-06 - accuracy: 1.0000 - val_loss: 18.6745 - val_accuracy: 0.3476
Epoch 9375/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.5076e-06 - accuracy: 1.0000 - val_loss: 18.6757 - val_accuracy: 0.3478
Epoch 9376/10000
16/16 [==============================] - 1s 41ms/step - loss: 7.4594e-06 - accuracy: 1.0000 - val_loss: 18.6765 - val_accuracy: 0.3476
Epoch 9377/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.4127e-06 - accuracy: 1.0000 - val_loss: 18.6776 - val_accuracy: 0.3477
Epoch 9378/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.3643e-06 - accuracy: 1.0000 - val_loss: 18.6788 - val_accuracy: 0.3478
Epoch 9379/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.3257e-06 - accuracy: 1.0000 - val_loss: 18.6799 - val_accuracy: 0.3478
Epoch 9380/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.2875e-06 - accuracy: 1.0000 - val_loss: 18.6810 - val_accuracy: 0.3478
Epoch 9381/10000
16/16 [==============================] - 1s 41ms/step - loss: 7.2525e-06 - accuracy: 1.0000 - val_loss: 18.6814 - val_accuracy: 0.3481
Epoch 9382/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.1827e-06 - accuracy: 1.0000 - val_loss: 18.6826 - val_accuracy: 0.3480
Epoch 9383/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.1612e-06 - accuracy: 1.0000 - val_loss: 18.6841 - val_accuracy: 0.3481
Epoch 9384/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.1054e-06 - accuracy: 1.0000 - val_loss: 18.6851 - val_accuracy: 0.3479
Epoch 9385/10000
16/16 [==============================] - 1s 39ms/step - loss: 7.0701e-06 - accuracy: 1.0000 - val_loss: 18.6861 - val_accuracy: 0.3478
Epoch 9386/10000
16/16 [==============================] - 1s 40ms/step - loss: 7.0263e-06 - accuracy: 1.0000 - val_loss: 18.6870 - val_accuracy: 0.3479
Epoch 9387/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.9776e-06 - accuracy: 1.0000 - val_loss: 18.6882 - val_accuracy: 0.3479
Epoch 9388/10000
16/16 [==============================] - 1s 41ms/step - loss: 6.9354e-06 - accuracy: 1.0000 - val_loss: 18.6896 - val_accuracy: 0.3478
Epoch 9389/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.8923e-06 - accuracy: 1.0000 - val_loss: 18.6900 - val_accuracy: 0.3478
Epoch 9390/10000
16/16 [==============================] - 1s 41ms/step - loss: 6.8489e-06 - accuracy: 1.0000 - val_loss: 18.6909 - val_accuracy: 0.3478
Epoch 9391/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.8143e-06 - accuracy: 1.0000 - val_loss: 18.6924 - val_accuracy: 0.3478
Epoch 9392/10000
16/16 [==============================] - 1s 41ms/step - loss: 6.7717e-06 - accuracy: 1.0000 - val_loss: 18.6936 - val_accuracy: 0.3478
Epoch 9393/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.7407e-06 - accuracy: 1.0000 - val_loss: 18.6943 - val_accuracy: 0.3477
Epoch 9394/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.6973e-06 - accuracy: 1.0000 - val_loss: 18.6958 - val_accuracy: 0.3478
Epoch 9395/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.6494e-06 - accuracy: 1.0000 - val_loss: 18.6969 - val_accuracy: 0.3478
Epoch 9396/10000
16/16 [==============================] - 1s 41ms/step - loss: 6.6005e-06 - accuracy: 1.0000 - val_loss: 18.6977 - val_accuracy: 0.3477
Epoch 9397/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.5662e-06 - accuracy: 1.0000 - val_loss: 18.6990 - val_accuracy: 0.3479
Epoch 9398/10000
16/16 [==============================] - 1s 41ms/step - loss: 6.5206e-06 - accuracy: 1.0000 - val_loss: 18.6998 - val_accuracy: 0.3477
Epoch 9399/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.4811e-06 - accuracy: 1.0000 - val_loss: 18.7008 - val_accuracy: 0.3479
Epoch 9400/10000
16/16 [==============================] - 1s 41ms/step - loss: 6.4384e-06 - accuracy: 1.0000 - val_loss: 18.7020 - val_accuracy: 0.3479
Epoch 9401/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.4112e-06 - accuracy: 1.0000 - val_loss: 18.7028 - val_accuracy: 0.3479
Epoch 9402/10000
16/16 [==============================] - 1s 41ms/step - loss: 6.3650e-06 - accuracy: 1.0000 - val_loss: 18.7039 - val_accuracy: 0.3479
Epoch 9403/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.3242e-06 - accuracy: 1.0000 - val_loss: 18.7050 - val_accuracy: 0.3478
Epoch 9404/10000
16/16 [==============================] - 1s 42ms/step - loss: 6.2875e-06 - accuracy: 1.0000 - val_loss: 18.7064 - val_accuracy: 0.3478
Epoch 9405/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.2532e-06 - accuracy: 1.0000 - val_loss: 18.7074 - val_accuracy: 0.3478
Epoch 9406/10000
16/16 [==============================] - 1s 41ms/step - loss: 6.2193e-06 - accuracy: 1.0000 - val_loss: 18.7085 - val_accuracy: 0.3478
Epoch 9407/10000
16/16 [==============================] - 1s 39ms/step - loss: 6.1778e-06 - accuracy: 1.0000 - val_loss: 18.7094 - val_accuracy: 0.3479
Epoch 9408/10000
16/16 [==============================] - 1s 42ms/step - loss: 6.1352e-06 - accuracy: 1.0000 - val_loss: 18.7109 - val_accuracy: 0.3478
Epoch 9409/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.1035e-06 - accuracy: 1.0000 - val_loss: 18.7119 - val_accuracy: 0.3480
Epoch 9410/10000
16/16 [==============================] - 1s 40ms/step - loss: 6.0687e-06 - accuracy: 1.0000 - val_loss: 18.7125 - val_accuracy: 0.3479
Epoch 9411/10000
16/16 [==============================] - 1s 42ms/step - loss: 6.0241e-06 - accuracy: 1.0000 - val_loss: 18.7141 - val_accuracy: 0.3481
Epoch 9412/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.9993e-06 - accuracy: 1.0000 - val_loss: 18.7156 - val_accuracy: 0.3480
Epoch 9413/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.9471e-06 - accuracy: 1.0000 - val_loss: 18.7165 - val_accuracy: 0.3481
Epoch 9414/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.9070e-06 - accuracy: 1.0000 - val_loss: 18.7175 - val_accuracy: 0.3483
Epoch 9415/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.8679e-06 - accuracy: 1.0000 - val_loss: 18.7186 - val_accuracy: 0.3482
Epoch 9416/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.8458e-06 - accuracy: 1.0000 - val_loss: 18.7199 - val_accuracy: 0.3482
Epoch 9417/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.8233e-06 - accuracy: 1.0000 - val_loss: 18.7212 - val_accuracy: 0.3483
Epoch 9418/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.7735e-06 - accuracy: 1.0000 - val_loss: 18.7223 - val_accuracy: 0.3481
Epoch 9419/10000
16/16 [==============================] - 1s 41ms/step - loss: 5.7320e-06 - accuracy: 1.0000 - val_loss: 18.7228 - val_accuracy: 0.3483
Epoch 9420/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.7125e-06 - accuracy: 1.0000 - val_loss: 18.7237 - val_accuracy: 0.3482
Epoch 9421/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.6667e-06 - accuracy: 1.0000 - val_loss: 18.7249 - val_accuracy: 0.3482
Epoch 9422/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.6364e-06 - accuracy: 1.0000 - val_loss: 18.7265 - val_accuracy: 0.3484
Epoch 9423/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.5997e-06 - accuracy: 1.0000 - val_loss: 18.7275 - val_accuracy: 0.3483
Epoch 9424/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.5654e-06 - accuracy: 1.0000 - val_loss: 18.7284 - val_accuracy: 0.3483
Epoch 9425/10000
16/16 [==============================] - 1s 38ms/step - loss: 5.5423e-06 - accuracy: 1.0000 - val_loss: 18.7294 - val_accuracy: 0.3486
Epoch 9426/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.5020e-06 - accuracy: 1.0000 - val_loss: 18.7305 - val_accuracy: 0.3486
Epoch 9427/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.4777e-06 - accuracy: 1.0000 - val_loss: 18.7316 - val_accuracy: 0.3485
Epoch 9428/10000
16/16 [==============================] - 1s 38ms/step - loss: 5.4429e-06 - accuracy: 1.0000 - val_loss: 18.7323 - val_accuracy: 0.3485
Epoch 9429/10000
16/16 [==============================] - 1s 39ms/step - loss: 5.4147e-06 - accuracy: 1.0000 - val_loss: 18.7341 - val_accuracy: 0.3485
Epoch 9430/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.3864e-06 - accuracy: 1.0000 - val_loss: 18.7356 - val_accuracy: 0.3484
Epoch 9431/10000
16/16 [==============================] - 1s 38ms/step - loss: 5.3444e-06 - accuracy: 1.0000 - val_loss: 18.7362 - val_accuracy: 0.3484
Epoch 9432/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.3075e-06 - accuracy: 1.0000 - val_loss: 18.7373 - val_accuracy: 0.3484
Epoch 9433/10000
16/16 [==============================] - 1s 38ms/step - loss: 5.2879e-06 - accuracy: 1.0000 - val_loss: 18.7385 - val_accuracy: 0.3484
Epoch 9434/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.2495e-06 - accuracy: 1.0000 - val_loss: 18.7391 - val_accuracy: 0.3484
Epoch 9435/10000
16/16 [==============================] - 1s 38ms/step - loss: 5.2214e-06 - accuracy: 1.0000 - val_loss: 18.7403 - val_accuracy: 0.3484
Epoch 9436/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.1804e-06 - accuracy: 1.0000 - val_loss: 18.7420 - val_accuracy: 0.3485
Epoch 9437/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.1577e-06 - accuracy: 1.0000 - val_loss: 18.7434 - val_accuracy: 0.3485
Epoch 9438/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.1220e-06 - accuracy: 1.0000 - val_loss: 18.7440 - val_accuracy: 0.3486
Epoch 9439/10000
16/16 [==============================] - 1s 38ms/step - loss: 5.0941e-06 - accuracy: 1.0000 - val_loss: 18.7452 - val_accuracy: 0.3487
Epoch 9440/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.0629e-06 - accuracy: 1.0000 - val_loss: 18.7466 - val_accuracy: 0.3488
Epoch 9441/10000
16/16 [==============================] - 1s 38ms/step - loss: 5.0338e-06 - accuracy: 1.0000 - val_loss: 18.7477 - val_accuracy: 0.3485
Epoch 9442/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.0016e-06 - accuracy: 1.0000 - val_loss: 18.7488 - val_accuracy: 0.3485
Epoch 9443/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.9701e-06 - accuracy: 1.0000 - val_loss: 18.7499 - val_accuracy: 0.3487
Epoch 9444/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.9384e-06 - accuracy: 1.0000 - val_loss: 18.7511 - val_accuracy: 0.3486
Epoch 9445/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.9117e-06 - accuracy: 1.0000 - val_loss: 18.7520 - val_accuracy: 0.3486
Epoch 9446/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.8791e-06 - accuracy: 1.0000 - val_loss: 18.7537 - val_accuracy: 0.3486
Epoch 9447/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.8421e-06 - accuracy: 1.0000 - val_loss: 18.7541 - val_accuracy: 0.3486
Epoch 9448/10000
16/16 [==============================] - 1s 41ms/step - loss: 4.8218e-06 - accuracy: 1.0000 - val_loss: 18.7552 - val_accuracy: 0.3486
Epoch 9449/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.7851e-06 - accuracy: 1.0000 - val_loss: 18.7559 - val_accuracy: 0.3487
Epoch 9450/10000
16/16 [==============================] - 1s 41ms/step - loss: 4.7599e-06 - accuracy: 1.0000 - val_loss: 18.7568 - val_accuracy: 0.3486
Epoch 9451/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.7303e-06 - accuracy: 1.0000 - val_loss: 18.7583 - val_accuracy: 0.3488
Epoch 9452/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.6921e-06 - accuracy: 1.0000 - val_loss: 18.7597 - val_accuracy: 0.3489
Epoch 9453/10000
16/16 [==============================] - 1s 38ms/step - loss: 4.6759e-06 - accuracy: 1.0000 - val_loss: 18.7601 - val_accuracy: 0.3487
Epoch 9454/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.6421e-06 - accuracy: 1.0000 - val_loss: 18.7616 - val_accuracy: 0.3486
Epoch 9455/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.6109e-06 - accuracy: 1.0000 - val_loss: 18.7627 - val_accuracy: 0.3488
Epoch 9456/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.5784e-06 - accuracy: 1.0000 - val_loss: 18.7635 - val_accuracy: 0.3489
Epoch 9457/10000
16/16 [==============================] - 1s 38ms/step - loss: 4.5493e-06 - accuracy: 1.0000 - val_loss: 18.7648 - val_accuracy: 0.3489
Epoch 9458/10000
16/16 [==============================] - 1s 41ms/step - loss: 4.5279e-06 - accuracy: 1.0000 - val_loss: 18.7654 - val_accuracy: 0.3490
Epoch 9459/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.5007e-06 - accuracy: 1.0000 - val_loss: 18.7669 - val_accuracy: 0.3490
Epoch 9460/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.4700e-06 - accuracy: 1.0000 - val_loss: 18.7680 - val_accuracy: 0.3489
Epoch 9461/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.4335e-06 - accuracy: 1.0000 - val_loss: 18.7691 - val_accuracy: 0.3490
Epoch 9462/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.4120e-06 - accuracy: 1.0000 - val_loss: 18.7701 - val_accuracy: 0.3489
Epoch 9463/10000
16/16 [==============================] - 1s 41ms/step - loss: 4.3822e-06 - accuracy: 1.0000 - val_loss: 18.7713 - val_accuracy: 0.3489
Epoch 9464/10000
16/16 [==============================] - 1s 38ms/step - loss: 4.3581e-06 - accuracy: 1.0000 - val_loss: 18.7723 - val_accuracy: 0.3489
Epoch 9465/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.3391e-06 - accuracy: 1.0000 - val_loss: 18.7738 - val_accuracy: 0.3489
Epoch 9466/10000
16/16 [==============================] - 1s 38ms/step - loss: 4.3043e-06 - accuracy: 1.0000 - val_loss: 18.7746 - val_accuracy: 0.3489
Epoch 9467/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.2807e-06 - accuracy: 1.0000 - val_loss: 18.7753 - val_accuracy: 0.3489
Epoch 9468/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.2540e-06 - accuracy: 1.0000 - val_loss: 18.7764 - val_accuracy: 0.3488
Epoch 9469/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.2258e-06 - accuracy: 1.0000 - val_loss: 18.7775 - val_accuracy: 0.3485
Epoch 9470/10000
16/16 [==============================] - 1s 38ms/step - loss: 4.2094e-06 - accuracy: 1.0000 - val_loss: 18.7788 - val_accuracy: 0.3484
Epoch 9471/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.1758e-06 - accuracy: 1.0000 - val_loss: 18.7799 - val_accuracy: 0.3487
Epoch 9472/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.1579e-06 - accuracy: 1.0000 - val_loss: 18.7808 - val_accuracy: 0.3484
Epoch 9473/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.1243e-06 - accuracy: 1.0000 - val_loss: 18.7816 - val_accuracy: 0.3485
Epoch 9474/10000
16/16 [==============================] - 1s 39ms/step - loss: 4.0971e-06 - accuracy: 1.0000 - val_loss: 18.7831 - val_accuracy: 0.3486
Epoch 9475/10000
16/16 [==============================] - 1s 38ms/step - loss: 4.0749e-06 - accuracy: 1.0000 - val_loss: 18.7842 - val_accuracy: 0.3487
Epoch 9476/10000
16/16 [==============================] - 1s 38ms/step - loss: 4.0542e-06 - accuracy: 1.0000 - val_loss: 18.7851 - val_accuracy: 0.3486
Epoch 9477/10000
16/16 [==============================] - 1s 40ms/step - loss: 4.0230e-06 - accuracy: 1.0000 - val_loss: 18.7869 - val_accuracy: 0.3487
Epoch 9478/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.9965e-06 - accuracy: 1.0000 - val_loss: 18.7877 - val_accuracy: 0.3487
Epoch 9479/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.9750e-06 - accuracy: 1.0000 - val_loss: 18.7887 - val_accuracy: 0.3488
Epoch 9480/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.9486e-06 - accuracy: 1.0000 - val_loss: 18.7894 - val_accuracy: 0.3489
Epoch 9481/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.9295e-06 - accuracy: 1.0000 - val_loss: 18.7908 - val_accuracy: 0.3491
Epoch 9482/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.9057e-06 - accuracy: 1.0000 - val_loss: 18.7921 - val_accuracy: 0.3489
Epoch 9483/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.8744e-06 - accuracy: 1.0000 - val_loss: 18.7931 - val_accuracy: 0.3489
Epoch 9484/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.8565e-06 - accuracy: 1.0000 - val_loss: 18.7943 - val_accuracy: 0.3490
Epoch 9485/10000
16/16 [==============================] - 1s 42ms/step - loss: 3.8332e-06 - accuracy: 1.0000 - val_loss: 18.7959 - val_accuracy: 0.3490
Epoch 9486/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.8086e-06 - accuracy: 1.0000 - val_loss: 18.7964 - val_accuracy: 0.3490
Epoch 9487/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.7896e-06 - accuracy: 1.0000 - val_loss: 18.7979 - val_accuracy: 0.3489
Epoch 9488/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.7581e-06 - accuracy: 1.0000 - val_loss: 18.7990 - val_accuracy: 0.3489
Epoch 9489/10000
16/16 [==============================] - 1s 38ms/step - loss: 3.7359e-06 - accuracy: 1.0000 - val_loss: 18.7999 - val_accuracy: 0.3489
Epoch 9490/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.7137e-06 - accuracy: 1.0000 - val_loss: 18.8012 - val_accuracy: 0.3488
Epoch 9491/10000
16/16 [==============================] - 1s 38ms/step - loss: 3.6987e-06 - accuracy: 1.0000 - val_loss: 18.8028 - val_accuracy: 0.3488
Epoch 9492/10000
16/16 [==============================] - 1s 41ms/step - loss: 3.6639e-06 - accuracy: 1.0000 - val_loss: 18.8036 - val_accuracy: 0.3487
Epoch 9493/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.6499e-06 - accuracy: 1.0000 - val_loss: 18.8042 - val_accuracy: 0.3488
Epoch 9494/10000
16/16 [==============================] - 1s 38ms/step - loss: 3.6193e-06 - accuracy: 1.0000 - val_loss: 18.8054 - val_accuracy: 0.3487
Epoch 9495/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.6022e-06 - accuracy: 1.0000 - val_loss: 18.8061 - val_accuracy: 0.3487
Epoch 9496/10000
16/16 [==============================] - 1s 38ms/step - loss: 3.5805e-06 - accuracy: 1.0000 - val_loss: 18.8079 - val_accuracy: 0.3488
Epoch 9497/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.5581e-06 - accuracy: 1.0000 - val_loss: 18.8086 - val_accuracy: 0.3488
Epoch 9498/10000
16/16 [==============================] - 1s 38ms/step - loss: 3.5316e-06 - accuracy: 1.0000 - val_loss: 18.8098 - val_accuracy: 0.3488
Epoch 9499/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.5175e-06 - accuracy: 1.0000 - val_loss: 18.8105 - val_accuracy: 0.3487
Epoch 9500/10000
16/16 [==============================] - 1s 38ms/step - loss: 3.4899e-06 - accuracy: 1.0000 - val_loss: 18.8118 - val_accuracy: 0.3486
Epoch 9501/10000
16/16 [==============================] - 1s 41ms/step - loss: 3.4696e-06 - accuracy: 1.0000 - val_loss: 18.8131 - val_accuracy: 0.3488
Epoch 9502/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.4529e-06 - accuracy: 1.0000 - val_loss: 18.8139 - val_accuracy: 0.3487
Epoch 9503/10000
16/16 [==============================] - 1s 38ms/step - loss: 3.4258e-06 - accuracy: 1.0000 - val_loss: 18.8155 - val_accuracy: 0.3487
Epoch 9504/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.4074e-06 - accuracy: 1.0000 - val_loss: 18.8164 - val_accuracy: 0.3488
Epoch 9505/10000
16/16 [==============================] - 1s 38ms/step - loss: 3.3807e-06 - accuracy: 1.0000 - val_loss: 18.8179 - val_accuracy: 0.3487
Epoch 9506/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.3728e-06 - accuracy: 1.0000 - val_loss: 18.8188 - val_accuracy: 0.3488
Epoch 9507/10000
16/16 [==============================] - 1s 37ms/step - loss: 3.3440e-06 - accuracy: 1.0000 - val_loss: 18.8204 - val_accuracy: 0.3487
Epoch 9508/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.3244e-06 - accuracy: 1.0000 - val_loss: 18.8219 - val_accuracy: 0.3487
Epoch 9509/10000
16/16 [==============================] - 1s 38ms/step - loss: 3.3037e-06 - accuracy: 1.0000 - val_loss: 18.8231 - val_accuracy: 0.3487
Epoch 9510/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.2810e-06 - accuracy: 1.0000 - val_loss: 18.8240 - val_accuracy: 0.3492
Epoch 9511/10000
16/16 [==============================] - 1s 37ms/step - loss: 3.2648e-06 - accuracy: 1.0000 - val_loss: 18.8249 - val_accuracy: 0.3493
Epoch 9512/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.2446e-06 - accuracy: 1.0000 - val_loss: 18.8266 - val_accuracy: 0.3490
Epoch 9513/10000
16/16 [==============================] - 1s 37ms/step - loss: 3.2257e-06 - accuracy: 1.0000 - val_loss: 18.8277 - val_accuracy: 0.3490
Epoch 9514/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.2031e-06 - accuracy: 1.0000 - val_loss: 18.8289 - val_accuracy: 0.3491
Epoch 9515/10000
16/16 [==============================] - 1s 37ms/step - loss: 3.1842e-06 - accuracy: 1.0000 - val_loss: 18.8301 - val_accuracy: 0.3492
Epoch 9516/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.1728e-06 - accuracy: 1.0000 - val_loss: 18.8307 - val_accuracy: 0.3494
Epoch 9517/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.1451e-06 - accuracy: 1.0000 - val_loss: 18.8319 - val_accuracy: 0.3492
Epoch 9518/10000
16/16 [==============================] - 1s 41ms/step - loss: 3.1285e-06 - accuracy: 1.0000 - val_loss: 18.8341 - val_accuracy: 0.3491
Epoch 9519/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.0994e-06 - accuracy: 1.0000 - val_loss: 18.8345 - val_accuracy: 0.3491
Epoch 9520/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.0903e-06 - accuracy: 1.0000 - val_loss: 18.8355 - val_accuracy: 0.3493
Epoch 9521/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.0689e-06 - accuracy: 1.0000 - val_loss: 18.8367 - val_accuracy: 0.3494
Epoch 9522/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.0512e-06 - accuracy: 1.0000 - val_loss: 18.8382 - val_accuracy: 0.3493
Epoch 9523/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.0264e-06 - accuracy: 1.0000 - val_loss: 18.8393 - val_accuracy: 0.3493
Epoch 9524/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.0121e-06 - accuracy: 1.0000 - val_loss: 18.8405 - val_accuracy: 0.3495
Epoch 9525/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.9911e-06 - accuracy: 1.0000 - val_loss: 18.8417 - val_accuracy: 0.3495
Epoch 9526/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.9809e-06 - accuracy: 1.0000 - val_loss: 18.8430 - val_accuracy: 0.3493
Epoch 9527/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.9535e-06 - accuracy: 1.0000 - val_loss: 18.8441 - val_accuracy: 0.3493
Epoch 9528/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.9396e-06 - accuracy: 1.0000 - val_loss: 18.8450 - val_accuracy: 0.3494
Epoch 9529/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.9237e-06 - accuracy: 1.0000 - val_loss: 18.8467 - val_accuracy: 0.3493
Epoch 9530/10000
16/16 [==============================] - 1s 42ms/step - loss: 2.9029e-06 - accuracy: 1.0000 - val_loss: 18.8481 - val_accuracy: 0.3494
Epoch 9531/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.8846e-06 - accuracy: 1.0000 - val_loss: 18.8490 - val_accuracy: 0.3494
Epoch 9532/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.8655e-06 - accuracy: 1.0000 - val_loss: 18.8505 - val_accuracy: 0.3494
Epoch 9533/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.8510e-06 - accuracy: 1.0000 - val_loss: 18.8519 - val_accuracy: 0.3495
Epoch 9534/10000
16/16 [==============================] - 1s 38ms/step - loss: 2.8312e-06 - accuracy: 1.0000 - val_loss: 18.8529 - val_accuracy: 0.3494
Epoch 9535/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.8140e-06 - accuracy: 1.0000 - val_loss: 18.8542 - val_accuracy: 0.3494
Epoch 9536/10000
16/16 [==============================] - 1s 38ms/step - loss: 2.7944e-06 - accuracy: 1.0000 - val_loss: 18.8552 - val_accuracy: 0.3493
Epoch 9537/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.7792e-06 - accuracy: 1.0000 - val_loss: 18.8561 - val_accuracy: 0.3493
Epoch 9538/10000
16/16 [==============================] - 1s 38ms/step - loss: 2.7608e-06 - accuracy: 1.0000 - val_loss: 18.8573 - val_accuracy: 0.3496
Epoch 9539/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.7430e-06 - accuracy: 1.0000 - val_loss: 18.8582 - val_accuracy: 0.3494
Epoch 9540/10000
16/16 [==============================] - 1s 38ms/step - loss: 2.7241e-06 - accuracy: 1.0000 - val_loss: 18.8598 - val_accuracy: 0.3497
Epoch 9541/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.7055e-06 - accuracy: 1.0000 - val_loss: 18.8613 - val_accuracy: 0.3496
Epoch 9542/10000
16/16 [==============================] - 1s 38ms/step - loss: 2.6969e-06 - accuracy: 1.0000 - val_loss: 18.8618 - val_accuracy: 0.3497
Epoch 9543/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.6798e-06 - accuracy: 1.0000 - val_loss: 18.8630 - val_accuracy: 0.3499
Epoch 9544/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.6602e-06 - accuracy: 1.0000 - val_loss: 18.8649 - val_accuracy: 0.3499
Epoch 9545/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.6459e-06 - accuracy: 1.0000 - val_loss: 18.8656 - val_accuracy: 0.3498
Epoch 9546/10000
16/16 [==============================] - 1s 38ms/step - loss: 2.6302e-06 - accuracy: 1.0000 - val_loss: 18.8674 - val_accuracy: 0.3500
Epoch 9547/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.6121e-06 - accuracy: 1.0000 - val_loss: 18.8687 - val_accuracy: 0.3504
Epoch 9548/10000
16/16 [==============================] - 1s 38ms/step - loss: 2.5959e-06 - accuracy: 1.0000 - val_loss: 18.8701 - val_accuracy: 0.3503
Epoch 9549/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.5806e-06 - accuracy: 1.0000 - val_loss: 18.8717 - val_accuracy: 0.3501
Epoch 9550/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.5649e-06 - accuracy: 1.0000 - val_loss: 18.8723 - val_accuracy: 0.3502
Epoch 9551/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.5503e-06 - accuracy: 1.0000 - val_loss: 18.8732 - val_accuracy: 0.3502
Epoch 9552/10000
16/16 [==============================] - 1s 38ms/step - loss: 2.5355e-06 - accuracy: 1.0000 - val_loss: 18.8749 - val_accuracy: 0.3502
Epoch 9553/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.5188e-06 - accuracy: 1.0000 - val_loss: 18.8760 - val_accuracy: 0.3504
Epoch 9554/10000
16/16 [==============================] - 1s 38ms/step - loss: 2.5062e-06 - accuracy: 1.0000 - val_loss: 18.8775 - val_accuracy: 0.3503
Epoch 9555/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.4831e-06 - accuracy: 1.0000 - val_loss: 18.8777 - val_accuracy: 0.3503
Epoch 9556/10000
16/16 [==============================] - 1s 38ms/step - loss: 2.4769e-06 - accuracy: 1.0000 - val_loss: 18.8783 - val_accuracy: 0.3503
Epoch 9557/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.4552e-06 - accuracy: 1.0000 - val_loss: 18.8795 - val_accuracy: 0.3503
Epoch 9558/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.4421e-06 - accuracy: 1.0000 - val_loss: 18.8813 - val_accuracy: 0.3504
Epoch 9559/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.4240e-06 - accuracy: 1.0000 - val_loss: 18.8824 - val_accuracy: 0.3503
Epoch 9560/10000
16/16 [==============================] - 1s 38ms/step - loss: 2.4108e-06 - accuracy: 1.0000 - val_loss: 18.8840 - val_accuracy: 0.3504
Epoch 9561/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.4011e-06 - accuracy: 1.0000 - val_loss: 18.8845 - val_accuracy: 0.3503
Epoch 9562/10000
16/16 [==============================] - 1s 38ms/step - loss: 2.3875e-06 - accuracy: 1.0000 - val_loss: 18.8870 - val_accuracy: 0.3504
Epoch 9563/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.3698e-06 - accuracy: 1.0000 - val_loss: 18.8872 - val_accuracy: 0.3503
Epoch 9564/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.3517e-06 - accuracy: 1.0000 - val_loss: 18.8881 - val_accuracy: 0.3503
Epoch 9565/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.3369e-06 - accuracy: 1.0000 - val_loss: 18.8890 - val_accuracy: 0.3503
Epoch 9566/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.3253e-06 - accuracy: 1.0000 - val_loss: 18.8899 - val_accuracy: 0.3504
Epoch 9567/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.3074e-06 - accuracy: 1.0000 - val_loss: 18.8911 - val_accuracy: 0.3503
Epoch 9568/10000
16/16 [==============================] - 1s 38ms/step - loss: 2.2912e-06 - accuracy: 1.0000 - val_loss: 18.8920 - val_accuracy: 0.3503
Epoch 9569/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.2792e-06 - accuracy: 1.0000 - val_loss: 18.8933 - val_accuracy: 0.3502
Epoch 9570/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.2723e-06 - accuracy: 1.0000 - val_loss: 18.8944 - val_accuracy: 0.3503
Epoch 9571/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.2514e-06 - accuracy: 1.0000 - val_loss: 18.8956 - val_accuracy: 0.3504
Epoch 9572/10000
16/16 [==============================] - 1s 38ms/step - loss: 2.2401e-06 - accuracy: 1.0000 - val_loss: 18.8971 - val_accuracy: 0.3506
Epoch 9573/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.2263e-06 - accuracy: 1.0000 - val_loss: 18.8984 - val_accuracy: 0.3507
Epoch 9574/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.2173e-06 - accuracy: 1.0000 - val_loss: 18.9001 - val_accuracy: 0.3508
Epoch 9575/10000
16/16 [==============================] - 1s 38ms/step - loss: 2.2006e-06 - accuracy: 1.0000 - val_loss: 18.9002 - val_accuracy: 0.3508
Epoch 9576/10000
16/16 [==============================] - 1s 38ms/step - loss: 2.1860e-06 - accuracy: 1.0000 - val_loss: 18.9016 - val_accuracy: 0.3507
Epoch 9577/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.1727e-06 - accuracy: 1.0000 - val_loss: 18.9024 - val_accuracy: 0.3507
Epoch 9578/10000
16/16 [==============================] - 1s 38ms/step - loss: 2.1579e-06 - accuracy: 1.0000 - val_loss: 18.9034 - val_accuracy: 0.3507
Epoch 9579/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.1450e-06 - accuracy: 1.0000 - val_loss: 18.9051 - val_accuracy: 0.3508
Epoch 9580/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.1317e-06 - accuracy: 1.0000 - val_loss: 18.9065 - val_accuracy: 0.3507
Epoch 9581/10000
16/16 [==============================] - 1s 38ms/step - loss: 2.1236e-06 - accuracy: 1.0000 - val_loss: 18.9082 - val_accuracy: 0.3507
Epoch 9582/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.1057e-06 - accuracy: 1.0000 - val_loss: 18.9100 - val_accuracy: 0.3508
Epoch 9583/10000
16/16 [==============================] - 1s 38ms/step - loss: 2.0966e-06 - accuracy: 1.0000 - val_loss: 18.9102 - val_accuracy: 0.3509
Epoch 9584/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.0785e-06 - accuracy: 1.0000 - val_loss: 18.9119 - val_accuracy: 0.3509
Epoch 9585/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.0685e-06 - accuracy: 1.0000 - val_loss: 18.9131 - val_accuracy: 0.3507
Epoch 9586/10000
16/16 [==============================] - 1s 38ms/step - loss: 2.0544e-06 - accuracy: 1.0000 - val_loss: 18.9149 - val_accuracy: 0.3508
Epoch 9587/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.0401e-06 - accuracy: 1.0000 - val_loss: 18.9157 - val_accuracy: 0.3508
Epoch 9588/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.0277e-06 - accuracy: 1.0000 - val_loss: 18.9174 - val_accuracy: 0.3508
Epoch 9589/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.0170e-06 - accuracy: 1.0000 - val_loss: 18.9189 - val_accuracy: 0.3508
Epoch 9590/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.0039e-06 - accuracy: 1.0000 - val_loss: 18.9202 - val_accuracy: 0.3508
Epoch 9591/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.9912e-06 - accuracy: 1.0000 - val_loss: 18.9214 - val_accuracy: 0.3508
Epoch 9592/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.9788e-06 - accuracy: 1.0000 - val_loss: 18.9225 - val_accuracy: 0.3509
Epoch 9593/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.9726e-06 - accuracy: 1.0000 - val_loss: 18.9236 - val_accuracy: 0.3509
Epoch 9594/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.9576e-06 - accuracy: 1.0000 - val_loss: 18.9246 - val_accuracy: 0.3510
Epoch 9595/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.9412e-06 - accuracy: 1.0000 - val_loss: 18.9264 - val_accuracy: 0.3508
Epoch 9596/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.9293e-06 - accuracy: 1.0000 - val_loss: 18.9280 - val_accuracy: 0.3509
Epoch 9597/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.9197e-06 - accuracy: 1.0000 - val_loss: 18.9290 - val_accuracy: 0.3510
Epoch 9598/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.9057e-06 - accuracy: 1.0000 - val_loss: 18.9302 - val_accuracy: 0.3509
Epoch 9599/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.8949e-06 - accuracy: 1.0000 - val_loss: 18.9313 - val_accuracy: 0.3509
Epoch 9600/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.8835e-06 - accuracy: 1.0000 - val_loss: 18.9317 - val_accuracy: 0.3509
Epoch 9601/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.8756e-06 - accuracy: 1.0000 - val_loss: 18.9335 - val_accuracy: 0.3509
Epoch 9602/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.8584e-06 - accuracy: 1.0000 - val_loss: 18.9345 - val_accuracy: 0.3510
Epoch 9603/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.8468e-06 - accuracy: 1.0000 - val_loss: 18.9360 - val_accuracy: 0.3509
Epoch 9604/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.8365e-06 - accuracy: 1.0000 - val_loss: 18.9372 - val_accuracy: 0.3509
Epoch 9605/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.8246e-06 - accuracy: 1.0000 - val_loss: 18.9389 - val_accuracy: 0.3511
Epoch 9606/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.8151e-06 - accuracy: 1.0000 - val_loss: 18.9405 - val_accuracy: 0.3512
Epoch 9607/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.8060e-06 - accuracy: 1.0000 - val_loss: 18.9420 - val_accuracy: 0.3512
Epoch 9608/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.7926e-06 - accuracy: 1.0000 - val_loss: 18.9437 - val_accuracy: 0.3513
Epoch 9609/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.7810e-06 - accuracy: 1.0000 - val_loss: 18.9447 - val_accuracy: 0.3512
Epoch 9610/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.7679e-06 - accuracy: 1.0000 - val_loss: 18.9461 - val_accuracy: 0.3512
Epoch 9611/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.7593e-06 - accuracy: 1.0000 - val_loss: 18.9479 - val_accuracy: 0.3512
Epoch 9612/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.7478e-06 - accuracy: 1.0000 - val_loss: 18.9487 - val_accuracy: 0.3512
Epoch 9613/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.7385e-06 - accuracy: 1.0000 - val_loss: 18.9499 - val_accuracy: 0.3513
Epoch 9614/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.7266e-06 - accuracy: 1.0000 - val_loss: 18.9512 - val_accuracy: 0.3513
Epoch 9615/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.7123e-06 - accuracy: 1.0000 - val_loss: 18.9530 - val_accuracy: 0.3513
Epoch 9616/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.7090e-06 - accuracy: 1.0000 - val_loss: 18.9540 - val_accuracy: 0.3511
Epoch 9617/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.6949e-06 - accuracy: 1.0000 - val_loss: 18.9558 - val_accuracy: 0.3512
Epoch 9618/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.6861e-06 - accuracy: 1.0000 - val_loss: 18.9576 - val_accuracy: 0.3512
Epoch 9619/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.6768e-06 - accuracy: 1.0000 - val_loss: 18.9582 - val_accuracy: 0.3512
Epoch 9620/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.6651e-06 - accuracy: 1.0000 - val_loss: 18.9594 - val_accuracy: 0.3512
Epoch 9621/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.6558e-06 - accuracy: 1.0000 - val_loss: 18.9599 - val_accuracy: 0.3512
Epoch 9622/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.6439e-06 - accuracy: 1.0000 - val_loss: 18.9617 - val_accuracy: 0.3512
Epoch 9623/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.6351e-06 - accuracy: 1.0000 - val_loss: 18.9628 - val_accuracy: 0.3512
Epoch 9624/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.6239e-06 - accuracy: 1.0000 - val_loss: 18.9643 - val_accuracy: 0.3512
Epoch 9625/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.6150e-06 - accuracy: 1.0000 - val_loss: 18.9650 - val_accuracy: 0.3513
Epoch 9626/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.6031e-06 - accuracy: 1.0000 - val_loss: 18.9670 - val_accuracy: 0.3513
Epoch 9627/10000
16/16 [==============================] - 1s 44ms/step - loss: 1.5957e-06 - accuracy: 1.0000 - val_loss: 18.9685 - val_accuracy: 0.3513
Epoch 9628/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.5855e-06 - accuracy: 1.0000 - val_loss: 18.9695 - val_accuracy: 0.3514
Epoch 9629/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.5766e-06 - accuracy: 1.0000 - val_loss: 18.9717 - val_accuracy: 0.3513
Epoch 9630/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.5676e-06 - accuracy: 1.0000 - val_loss: 18.9727 - val_accuracy: 0.3513
Epoch 9631/10000
16/16 [==============================] - 1s 44ms/step - loss: 1.5585e-06 - accuracy: 1.0000 - val_loss: 18.9743 - val_accuracy: 0.3513
Epoch 9632/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.5428e-06 - accuracy: 1.0000 - val_loss: 18.9757 - val_accuracy: 0.3514
Epoch 9633/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.5378e-06 - accuracy: 1.0000 - val_loss: 18.9764 - val_accuracy: 0.3514
Epoch 9634/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.5263e-06 - accuracy: 1.0000 - val_loss: 18.9777 - val_accuracy: 0.3515
Epoch 9635/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.5182e-06 - accuracy: 1.0000 - val_loss: 18.9795 - val_accuracy: 0.3514
Epoch 9636/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.5073e-06 - accuracy: 1.0000 - val_loss: 18.9807 - val_accuracy: 0.3515
Epoch 9637/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.4980e-06 - accuracy: 1.0000 - val_loss: 18.9818 - val_accuracy: 0.3514
Epoch 9638/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.4906e-06 - accuracy: 1.0000 - val_loss: 18.9836 - val_accuracy: 0.3516
Epoch 9639/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.4839e-06 - accuracy: 1.0000 - val_loss: 18.9838 - val_accuracy: 0.3514
Epoch 9640/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.4694e-06 - accuracy: 1.0000 - val_loss: 18.9857 - val_accuracy: 0.3514
Epoch 9641/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.4603e-06 - accuracy: 1.0000 - val_loss: 18.9872 - val_accuracy: 0.3514
Epoch 9642/10000
16/16 [==============================] - 1s 43ms/step - loss: 1.4505e-06 - accuracy: 1.0000 - val_loss: 18.9886 - val_accuracy: 0.3514
Epoch 9643/10000
16/16 [==============================] - 1s 45ms/step - loss: 1.4438e-06 - accuracy: 1.0000 - val_loss: 18.9899 - val_accuracy: 0.3516
Epoch 9644/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.4315e-06 - accuracy: 1.0000 - val_loss: 18.9911 - val_accuracy: 0.3516
Epoch 9645/10000
16/16 [==============================] - 1s 43ms/step - loss: 1.4226e-06 - accuracy: 1.0000 - val_loss: 18.9928 - val_accuracy: 0.3515
Epoch 9646/10000
16/16 [==============================] - 1s 43ms/step - loss: 1.4143e-06 - accuracy: 1.0000 - val_loss: 18.9942 - val_accuracy: 0.3517
Epoch 9647/10000
16/16 [==============================] - 1s 44ms/step - loss: 1.4064e-06 - accuracy: 1.0000 - val_loss: 18.9953 - val_accuracy: 0.3516
Epoch 9648/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.3962e-06 - accuracy: 1.0000 - val_loss: 18.9969 - val_accuracy: 0.3516
Epoch 9649/10000
16/16 [==============================] - 1s 43ms/step - loss: 1.3890e-06 - accuracy: 1.0000 - val_loss: 18.9980 - val_accuracy: 0.3516
Epoch 9650/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.3778e-06 - accuracy: 1.0000 - val_loss: 18.9999 - val_accuracy: 0.3517
Epoch 9651/10000
16/16 [==============================] - 1s 44ms/step - loss: 1.3714e-06 - accuracy: 1.0000 - val_loss: 19.0008 - val_accuracy: 0.3517
Epoch 9652/10000
16/16 [==============================] - 1s 44ms/step - loss: 1.3595e-06 - accuracy: 1.0000 - val_loss: 19.0024 - val_accuracy: 0.3517
Epoch 9653/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.3518e-06 - accuracy: 1.0000 - val_loss: 19.0039 - val_accuracy: 0.3517
Epoch 9654/10000
16/16 [==============================] - 1s 45ms/step - loss: 1.3432e-06 - accuracy: 1.0000 - val_loss: 19.0057 - val_accuracy: 0.3516
Epoch 9655/10000
16/16 [==============================] - 1s 43ms/step - loss: 1.3373e-06 - accuracy: 1.0000 - val_loss: 19.0065 - val_accuracy: 0.3517
Epoch 9656/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.3256e-06 - accuracy: 1.0000 - val_loss: 19.0081 - val_accuracy: 0.3517
Epoch 9657/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.3170e-06 - accuracy: 1.0000 - val_loss: 19.0098 - val_accuracy: 0.3518
Epoch 9658/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.3096e-06 - accuracy: 1.0000 - val_loss: 19.0110 - val_accuracy: 0.3517
Epoch 9659/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.3039e-06 - accuracy: 1.0000 - val_loss: 19.0127 - val_accuracy: 0.3516
Epoch 9660/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.2941e-06 - accuracy: 1.0000 - val_loss: 19.0130 - val_accuracy: 0.3519
Epoch 9661/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.2863e-06 - accuracy: 1.0000 - val_loss: 19.0154 - val_accuracy: 0.3518
Epoch 9662/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.2782e-06 - accuracy: 1.0000 - val_loss: 19.0160 - val_accuracy: 0.3522
Epoch 9663/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.2686e-06 - accuracy: 1.0000 - val_loss: 19.0181 - val_accuracy: 0.3522
Epoch 9664/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.2605e-06 - accuracy: 1.0000 - val_loss: 19.0195 - val_accuracy: 0.3520
Epoch 9665/10000
16/16 [==============================] - 1s 43ms/step - loss: 1.2548e-06 - accuracy: 1.0000 - val_loss: 19.0213 - val_accuracy: 0.3520
Epoch 9666/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.2464e-06 - accuracy: 1.0000 - val_loss: 19.0222 - val_accuracy: 0.3521
Epoch 9667/10000
16/16 [==============================] - 1s 43ms/step - loss: 1.2383e-06 - accuracy: 1.0000 - val_loss: 19.0237 - val_accuracy: 0.3522
Epoch 9668/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.2324e-06 - accuracy: 1.0000 - val_loss: 19.0250 - val_accuracy: 0.3522
Epoch 9669/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.2216e-06 - accuracy: 1.0000 - val_loss: 19.0267 - val_accuracy: 0.3523
Epoch 9670/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.2152e-06 - accuracy: 1.0000 - val_loss: 19.0276 - val_accuracy: 0.3523
Epoch 9671/10000
16/16 [==============================] - 1s 43ms/step - loss: 1.2064e-06 - accuracy: 1.0000 - val_loss: 19.0294 - val_accuracy: 0.3524
Epoch 9672/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.2002e-06 - accuracy: 1.0000 - val_loss: 19.0302 - val_accuracy: 0.3522
Epoch 9673/10000
16/16 [==============================] - 1s 44ms/step - loss: 1.1918e-06 - accuracy: 1.0000 - val_loss: 19.0326 - val_accuracy: 0.3525
Epoch 9674/10000
16/16 [==============================] - 1s 43ms/step - loss: 1.1833e-06 - accuracy: 1.0000 - val_loss: 19.0339 - val_accuracy: 0.3525
Epoch 9675/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.1761e-06 - accuracy: 1.0000 - val_loss: 19.0357 - val_accuracy: 0.3525
Epoch 9676/10000
16/16 [==============================] - 1s 44ms/step - loss: 1.1690e-06 - accuracy: 1.0000 - val_loss: 19.0366 - val_accuracy: 0.3525
Epoch 9677/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.1623e-06 - accuracy: 1.0000 - val_loss: 19.0374 - val_accuracy: 0.3525
Epoch 9678/10000
16/16 [==============================] - 1s 43ms/step - loss: 1.1532e-06 - accuracy: 1.0000 - val_loss: 19.0396 - val_accuracy: 0.3527
Epoch 9679/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.1456e-06 - accuracy: 1.0000 - val_loss: 19.0420 - val_accuracy: 0.3527
Epoch 9680/10000
16/16 [==============================] - 1s 43ms/step - loss: 1.1365e-06 - accuracy: 1.0000 - val_loss: 19.0428 - val_accuracy: 0.3527
Epoch 9681/10000
16/16 [==============================] - 1s 43ms/step - loss: 1.1294e-06 - accuracy: 1.0000 - val_loss: 19.0437 - val_accuracy: 0.3527
Epoch 9682/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.1246e-06 - accuracy: 1.0000 - val_loss: 19.0451 - val_accuracy: 0.3527
Epoch 9683/10000
16/16 [==============================] - 1s 44ms/step - loss: 1.1165e-06 - accuracy: 1.0000 - val_loss: 19.0475 - val_accuracy: 0.3527
Epoch 9684/10000
16/16 [==============================] - 1s 43ms/step - loss: 1.1091e-06 - accuracy: 1.0000 - val_loss: 19.0482 - val_accuracy: 0.3526
Epoch 9685/10000
16/16 [==============================] - 1s 43ms/step - loss: 1.1032e-06 - accuracy: 1.0000 - val_loss: 19.0499 - val_accuracy: 0.3527
Epoch 9686/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.0934e-06 - accuracy: 1.0000 - val_loss: 19.0513 - val_accuracy: 0.3525
Epoch 9687/10000
16/16 [==============================] - 1s 43ms/step - loss: 1.0846e-06 - accuracy: 1.0000 - val_loss: 19.0522 - val_accuracy: 0.3525
Epoch 9688/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.0776e-06 - accuracy: 1.0000 - val_loss: 19.0540 - val_accuracy: 0.3525
Epoch 9689/10000
16/16 [==============================] - 1s 43ms/step - loss: 1.0748e-06 - accuracy: 1.0000 - val_loss: 19.0563 - val_accuracy: 0.3526
Epoch 9690/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.0641e-06 - accuracy: 1.0000 - val_loss: 19.0571 - val_accuracy: 0.3527
Epoch 9691/10000
16/16 [==============================] - 1s 43ms/step - loss: 1.0552e-06 - accuracy: 1.0000 - val_loss: 19.0585 - val_accuracy: 0.3525
Epoch 9692/10000
16/16 [==============================] - 1s 43ms/step - loss: 1.0497e-06 - accuracy: 1.0000 - val_loss: 19.0603 - val_accuracy: 0.3526
Epoch 9693/10000
16/16 [==============================] - 1s 43ms/step - loss: 1.0412e-06 - accuracy: 1.0000 - val_loss: 19.0617 - val_accuracy: 0.3525
Epoch 9694/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.0354e-06 - accuracy: 1.0000 - val_loss: 19.0627 - val_accuracy: 0.3525
Epoch 9695/10000
16/16 [==============================] - 1s 43ms/step - loss: 1.0292e-06 - accuracy: 1.0000 - val_loss: 19.0643 - val_accuracy: 0.3525
Epoch 9696/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.0216e-06 - accuracy: 1.0000 - val_loss: 19.0664 - val_accuracy: 0.3527
Epoch 9697/10000
16/16 [==============================] - 1s 43ms/step - loss: 1.0154e-06 - accuracy: 1.0000 - val_loss: 19.0682 - val_accuracy: 0.3525
Epoch 9698/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.0097e-06 - accuracy: 1.0000 - val_loss: 19.0695 - val_accuracy: 0.3525
Epoch 9699/10000
16/16 [==============================] - 1s 45ms/step - loss: 1.0002e-06 - accuracy: 1.0000 - val_loss: 19.0701 - val_accuracy: 0.3525
Epoch 9700/10000
16/16 [==============================] - 1s 43ms/step - loss: 9.9491e-07 - accuracy: 1.0000 - val_loss: 19.0720 - val_accuracy: 0.3526
Epoch 9701/10000
16/16 [==============================] - 1s 42ms/step - loss: 9.8824e-07 - accuracy: 1.0000 - val_loss: 19.0738 - val_accuracy: 0.3525
Epoch 9702/10000
16/16 [==============================] - 1s 43ms/step - loss: 9.8180e-07 - accuracy: 1.0000 - val_loss: 19.0760 - val_accuracy: 0.3526
Epoch 9703/10000
16/16 [==============================] - 1s 41ms/step - loss: 9.7656e-07 - accuracy: 1.0000 - val_loss: 19.0776 - val_accuracy: 0.3525
Epoch 9704/10000
16/16 [==============================] - 1s 44ms/step - loss: 9.6940e-07 - accuracy: 1.0000 - val_loss: 19.0796 - val_accuracy: 0.3525
Epoch 9705/10000
16/16 [==============================] - 1s 42ms/step - loss: 9.6273e-07 - accuracy: 1.0000 - val_loss: 19.0807 - val_accuracy: 0.3526
Epoch 9706/10000
16/16 [==============================] - 1s 42ms/step - loss: 9.5581e-07 - accuracy: 1.0000 - val_loss: 19.0819 - val_accuracy: 0.3526
Epoch 9707/10000
16/16 [==============================] - 1s 42ms/step - loss: 9.4938e-07 - accuracy: 1.0000 - val_loss: 19.0835 - val_accuracy: 0.3525
Epoch 9708/10000
16/16 [==============================] - 1s 44ms/step - loss: 9.4294e-07 - accuracy: 1.0000 - val_loss: 19.0846 - val_accuracy: 0.3524
Epoch 9709/10000
16/16 [==============================] - 1s 41ms/step - loss: 9.3650e-07 - accuracy: 1.0000 - val_loss: 19.0858 - val_accuracy: 0.3522
Epoch 9710/10000
16/16 [==============================] - 1s 41ms/step - loss: 9.3078e-07 - accuracy: 1.0000 - val_loss: 19.0870 - val_accuracy: 0.3525
Epoch 9711/10000
16/16 [==============================] - 1s 43ms/step - loss: 9.2434e-07 - accuracy: 1.0000 - val_loss: 19.0889 - val_accuracy: 0.3522
Epoch 9712/10000
16/16 [==============================] - 1s 43ms/step - loss: 9.1814e-07 - accuracy: 1.0000 - val_loss: 19.0904 - val_accuracy: 0.3522
Epoch 9713/10000
16/16 [==============================] - 1s 43ms/step - loss: 9.1123e-07 - accuracy: 1.0000 - val_loss: 19.0917 - val_accuracy: 0.3521
Epoch 9714/10000
16/16 [==============================] - 1s 41ms/step - loss: 9.0670e-07 - accuracy: 1.0000 - val_loss: 19.0933 - val_accuracy: 0.3521
Epoch 9715/10000
16/16 [==============================] - 1s 43ms/step - loss: 9.0074e-07 - accuracy: 1.0000 - val_loss: 19.0940 - val_accuracy: 0.3521
Epoch 9716/10000
16/16 [==============================] - 1s 42ms/step - loss: 8.9478e-07 - accuracy: 1.0000 - val_loss: 19.0960 - val_accuracy: 0.3522
Epoch 9717/10000
16/16 [==============================] - 1s 43ms/step - loss: 8.8810e-07 - accuracy: 1.0000 - val_loss: 19.0977 - val_accuracy: 0.3522
Epoch 9718/10000
16/16 [==============================] - 1s 42ms/step - loss: 8.8286e-07 - accuracy: 1.0000 - val_loss: 19.0992 - val_accuracy: 0.3522
Epoch 9719/10000
16/16 [==============================] - 1s 42ms/step - loss: 8.7642e-07 - accuracy: 1.0000 - val_loss: 19.1011 - val_accuracy: 0.3523
Epoch 9720/10000
16/16 [==============================] - 1s 42ms/step - loss: 8.7189e-07 - accuracy: 1.0000 - val_loss: 19.1020 - val_accuracy: 0.3523
Epoch 9721/10000
16/16 [==============================] - 1s 42ms/step - loss: 8.6569e-07 - accuracy: 1.0000 - val_loss: 19.1031 - val_accuracy: 0.3522
Epoch 9722/10000
16/16 [==============================] - 1s 41ms/step - loss: 8.5830e-07 - accuracy: 1.0000 - val_loss: 19.1052 - val_accuracy: 0.3523
Epoch 9723/10000
16/16 [==============================] - 1s 44ms/step - loss: 8.5496e-07 - accuracy: 1.0000 - val_loss: 19.1060 - val_accuracy: 0.3523
Epoch 9724/10000
16/16 [==============================] - 1s 41ms/step - loss: 8.4710e-07 - accuracy: 1.0000 - val_loss: 19.1084 - val_accuracy: 0.3524
Epoch 9725/10000
16/16 [==============================] - 1s 42ms/step - loss: 8.4066e-07 - accuracy: 1.0000 - val_loss: 19.1093 - val_accuracy: 0.3524
Epoch 9726/10000
16/16 [==============================] - 1s 44ms/step - loss: 8.3684e-07 - accuracy: 1.0000 - val_loss: 19.1112 - val_accuracy: 0.3525
Epoch 9727/10000
16/16 [==============================] - 1s 42ms/step - loss: 8.2969e-07 - accuracy: 1.0000 - val_loss: 19.1127 - val_accuracy: 0.3524
Epoch 9728/10000
16/16 [==============================] - 1s 42ms/step - loss: 8.2445e-07 - accuracy: 1.0000 - val_loss: 19.1147 - val_accuracy: 0.3527
Epoch 9729/10000
16/16 [==============================] - 1s 41ms/step - loss: 8.1944e-07 - accuracy: 1.0000 - val_loss: 19.1156 - val_accuracy: 0.3525
Epoch 9730/10000
16/16 [==============================] - 1s 41ms/step - loss: 8.1420e-07 - accuracy: 1.0000 - val_loss: 19.1166 - val_accuracy: 0.3526
Epoch 9731/10000
16/16 [==============================] - 1s 42ms/step - loss: 8.1014e-07 - accuracy: 1.0000 - val_loss: 19.1185 - val_accuracy: 0.3526
Epoch 9732/10000
16/16 [==============================] - 1s 41ms/step - loss: 8.0347e-07 - accuracy: 1.0000 - val_loss: 19.1201 - val_accuracy: 0.3527
Epoch 9733/10000
16/16 [==============================] - 1s 44ms/step - loss: 7.9870e-07 - accuracy: 1.0000 - val_loss: 19.1218 - val_accuracy: 0.3525
Epoch 9734/10000
16/16 [==============================] - 1s 44ms/step - loss: 7.9202e-07 - accuracy: 1.0000 - val_loss: 19.1235 - val_accuracy: 0.3527
Epoch 9735/10000
16/16 [==============================] - 1s 44ms/step - loss: 7.8797e-07 - accuracy: 1.0000 - val_loss: 19.1252 - val_accuracy: 0.3528
Epoch 9736/10000
16/16 [==============================] - 1s 43ms/step - loss: 7.8225e-07 - accuracy: 1.0000 - val_loss: 19.1274 - val_accuracy: 0.3527
Epoch 9737/10000
16/16 [==============================] - 1s 43ms/step - loss: 7.7653e-07 - accuracy: 1.0000 - val_loss: 19.1290 - val_accuracy: 0.3526
Epoch 9738/10000
16/16 [==============================] - 1s 43ms/step - loss: 7.7414e-07 - accuracy: 1.0000 - val_loss: 19.1315 - val_accuracy: 0.3526
Epoch 9739/10000
16/16 [==============================] - 1s 43ms/step - loss: 7.6723e-07 - accuracy: 1.0000 - val_loss: 19.1322 - val_accuracy: 0.3526
Epoch 9740/10000
16/16 [==============================] - 1s 43ms/step - loss: 7.6127e-07 - accuracy: 1.0000 - val_loss: 19.1333 - val_accuracy: 0.3527
Epoch 9741/10000
16/16 [==============================] - 1s 43ms/step - loss: 7.5698e-07 - accuracy: 1.0000 - val_loss: 19.1350 - val_accuracy: 0.3526
Epoch 9742/10000
16/16 [==============================] - 1s 42ms/step - loss: 7.5173e-07 - accuracy: 1.0000 - val_loss: 19.1364 - val_accuracy: 0.3526
Epoch 9743/10000
16/16 [==============================] - 1s 46ms/step - loss: 7.5006e-07 - accuracy: 1.0000 - val_loss: 19.1375 - val_accuracy: 0.3526
Epoch 9744/10000
16/16 [==============================] - 1s 45ms/step - loss: 7.4243e-07 - accuracy: 1.0000 - val_loss: 19.1396 - val_accuracy: 0.3526
Epoch 9745/10000
16/16 [==============================] - 1s 47ms/step - loss: 7.3838e-07 - accuracy: 1.0000 - val_loss: 19.1409 - val_accuracy: 0.3525
Epoch 9746/10000
16/16 [==============================] - 1s 48ms/step - loss: 7.3242e-07 - accuracy: 1.0000 - val_loss: 19.1433 - val_accuracy: 0.3526
Epoch 9747/10000
16/16 [==============================] - 1s 45ms/step - loss: 7.2765e-07 - accuracy: 1.0000 - val_loss: 19.1440 - val_accuracy: 0.3525
Epoch 9748/10000
16/16 [==============================] - 1s 47ms/step - loss: 7.2360e-07 - accuracy: 1.0000 - val_loss: 19.1456 - val_accuracy: 0.3525
Epoch 9749/10000
16/16 [==============================] - 1s 44ms/step - loss: 7.2121e-07 - accuracy: 1.0000 - val_loss: 19.1464 - val_accuracy: 0.3526
Epoch 9750/10000
16/16 [==============================] - 1s 42ms/step - loss: 7.1454e-07 - accuracy: 1.0000 - val_loss: 19.1489 - val_accuracy: 0.3527
Epoch 9751/10000
16/16 [==============================] - 1s 42ms/step - loss: 7.0929e-07 - accuracy: 1.0000 - val_loss: 19.1503 - val_accuracy: 0.3527
Epoch 9752/10000
16/16 [==============================] - 1s 44ms/step - loss: 7.0476e-07 - accuracy: 1.0000 - val_loss: 19.1520 - val_accuracy: 0.3527
Epoch 9753/10000
16/16 [==============================] - 1s 42ms/step - loss: 6.9928e-07 - accuracy: 1.0000 - val_loss: 19.1536 - val_accuracy: 0.3527
Epoch 9754/10000
16/16 [==============================] - 1s 43ms/step - loss: 6.9666e-07 - accuracy: 1.0000 - val_loss: 19.1553 - val_accuracy: 0.3527
Epoch 9755/10000
16/16 [==============================] - 1s 43ms/step - loss: 6.8998e-07 - accuracy: 1.0000 - val_loss: 19.1567 - val_accuracy: 0.3527
Epoch 9756/10000
16/16 [==============================] - 1s 44ms/step - loss: 6.8521e-07 - accuracy: 1.0000 - val_loss: 19.1584 - val_accuracy: 0.3526
Epoch 9757/10000
16/16 [==============================] - 1s 52ms/step - loss: 6.8092e-07 - accuracy: 1.0000 - val_loss: 19.1605 - val_accuracy: 0.3526
Epoch 9758/10000
16/16 [==============================] - 1s 51ms/step - loss: 6.7615e-07 - accuracy: 1.0000 - val_loss: 19.1617 - val_accuracy: 0.3526
Epoch 9759/10000
16/16 [==============================] - 1s 51ms/step - loss: 6.7138e-07 - accuracy: 1.0000 - val_loss: 19.1630 - val_accuracy: 0.3526
Epoch 9760/10000
16/16 [==============================] - 1s 53ms/step - loss: 6.6471e-07 - accuracy: 1.0000 - val_loss: 19.1653 - val_accuracy: 0.3527
Epoch 9761/10000
16/16 [==============================] - 1s 53ms/step - loss: 6.6161e-07 - accuracy: 1.0000 - val_loss: 19.1673 - val_accuracy: 0.3528
Epoch 9762/10000
16/16 [==============================] - 1s 53ms/step - loss: 6.6018e-07 - accuracy: 1.0000 - val_loss: 19.1691 - val_accuracy: 0.3527
Epoch 9763/10000
16/16 [==============================] - 1s 52ms/step - loss: 6.5374e-07 - accuracy: 1.0000 - val_loss: 19.1701 - val_accuracy: 0.3528
Epoch 9764/10000
16/16 [==============================] - 1s 53ms/step - loss: 6.4921e-07 - accuracy: 1.0000 - val_loss: 19.1720 - val_accuracy: 0.3529
Epoch 9765/10000
16/16 [==============================] - 1s 51ms/step - loss: 6.4468e-07 - accuracy: 1.0000 - val_loss: 19.1734 - val_accuracy: 0.3530
Epoch 9766/10000
16/16 [==============================] - 1s 54ms/step - loss: 6.3920e-07 - accuracy: 1.0000 - val_loss: 19.1752 - val_accuracy: 0.3530
Epoch 9767/10000
16/16 [==============================] - 1s 51ms/step - loss: 6.3491e-07 - accuracy: 1.0000 - val_loss: 19.1771 - val_accuracy: 0.3529
Epoch 9768/10000
16/16 [==============================] - 1s 51ms/step - loss: 6.3228e-07 - accuracy: 1.0000 - val_loss: 19.1787 - val_accuracy: 0.3528
Epoch 9769/10000
16/16 [==============================] - 1s 42ms/step - loss: 6.2752e-07 - accuracy: 1.0000 - val_loss: 19.1800 - val_accuracy: 0.3528
Epoch 9770/10000
16/16 [==============================] - 1s 43ms/step - loss: 6.2179e-07 - accuracy: 1.0000 - val_loss: 19.1820 - val_accuracy: 0.3528
Epoch 9771/10000
16/16 [==============================] - 1s 42ms/step - loss: 6.1655e-07 - accuracy: 1.0000 - val_loss: 19.1829 - val_accuracy: 0.3529
Epoch 9772/10000
16/16 [==============================] - 1s 43ms/step - loss: 6.1440e-07 - accuracy: 1.0000 - val_loss: 19.1848 - val_accuracy: 0.3529
Epoch 9773/10000
16/16 [==============================] - 1s 42ms/step - loss: 6.1130e-07 - accuracy: 1.0000 - val_loss: 19.1865 - val_accuracy: 0.3529
Epoch 9774/10000
16/16 [==============================] - 1s 41ms/step - loss: 6.0796e-07 - accuracy: 1.0000 - val_loss: 19.1875 - val_accuracy: 0.3529
Epoch 9775/10000
16/16 [==============================] - 1s 43ms/step - loss: 6.0153e-07 - accuracy: 1.0000 - val_loss: 19.1892 - val_accuracy: 0.3530
Epoch 9776/10000
16/16 [==============================] - 1s 42ms/step - loss: 5.9914e-07 - accuracy: 1.0000 - val_loss: 19.1908 - val_accuracy: 0.3531
Epoch 9777/10000
16/16 [==============================] - 1s 41ms/step - loss: 5.9461e-07 - accuracy: 1.0000 - val_loss: 19.1931 - val_accuracy: 0.3531
Epoch 9778/10000
16/16 [==============================] - 1s 43ms/step - loss: 5.8841e-07 - accuracy: 1.0000 - val_loss: 19.1946 - val_accuracy: 0.3531
Epoch 9779/10000
16/16 [==============================] - 1s 41ms/step - loss: 5.8484e-07 - accuracy: 1.0000 - val_loss: 19.1962 - val_accuracy: 0.3531
Epoch 9780/10000
16/16 [==============================] - 1s 41ms/step - loss: 5.8174e-07 - accuracy: 1.0000 - val_loss: 19.1974 - val_accuracy: 0.3531
Epoch 9781/10000
16/16 [==============================] - 1s 42ms/step - loss: 5.7769e-07 - accuracy: 1.0000 - val_loss: 19.1995 - val_accuracy: 0.3530
Epoch 9782/10000
16/16 [==============================] - 1s 44ms/step - loss: 5.7506e-07 - accuracy: 1.0000 - val_loss: 19.2006 - val_accuracy: 0.3531
Epoch 9783/10000
16/16 [==============================] - 1s 42ms/step - loss: 5.7149e-07 - accuracy: 1.0000 - val_loss: 19.2027 - val_accuracy: 0.3532
Epoch 9784/10000
16/16 [==============================] - 1s 43ms/step - loss: 5.6553e-07 - accuracy: 1.0000 - val_loss: 19.2037 - val_accuracy: 0.3531
Epoch 9785/10000
16/16 [==============================] - 1s 42ms/step - loss: 5.6457e-07 - accuracy: 1.0000 - val_loss: 19.2045 - val_accuracy: 0.3530
Epoch 9786/10000
16/16 [==============================] - 1s 42ms/step - loss: 5.5933e-07 - accuracy: 1.0000 - val_loss: 19.2068 - val_accuracy: 0.3529
Epoch 9787/10000
16/16 [==============================] - 1s 42ms/step - loss: 5.5527e-07 - accuracy: 1.0000 - val_loss: 19.2084 - val_accuracy: 0.3529
Epoch 9788/10000
16/16 [==============================] - 1s 41ms/step - loss: 5.5194e-07 - accuracy: 1.0000 - val_loss: 19.2101 - val_accuracy: 0.3529
Epoch 9789/10000
16/16 [==============================] - 1s 43ms/step - loss: 5.4669e-07 - accuracy: 1.0000 - val_loss: 19.2111 - val_accuracy: 0.3529
Epoch 9790/10000
16/16 [==============================] - 1s 43ms/step - loss: 5.4502e-07 - accuracy: 1.0000 - val_loss: 19.2128 - val_accuracy: 0.3529
Epoch 9791/10000
16/16 [==============================] - 1s 41ms/step - loss: 5.4145e-07 - accuracy: 1.0000 - val_loss: 19.2146 - val_accuracy: 0.3529
Epoch 9792/10000
16/16 [==============================] - 1s 43ms/step - loss: 5.3859e-07 - accuracy: 1.0000 - val_loss: 19.2170 - val_accuracy: 0.3532
Epoch 9793/10000
16/16 [==============================] - 1s 40ms/step - loss: 5.3334e-07 - accuracy: 1.0000 - val_loss: 19.2186 - val_accuracy: 0.3531
Epoch 9794/10000
16/16 [==============================] - 1s 43ms/step - loss: 5.3024e-07 - accuracy: 1.0000 - val_loss: 19.2199 - val_accuracy: 0.3531
Epoch 9795/10000
16/16 [==============================] - 1s 42ms/step - loss: 5.2547e-07 - accuracy: 1.0000 - val_loss: 19.2215 - val_accuracy: 0.3530
Epoch 9796/10000
16/16 [==============================] - 1s 43ms/step - loss: 5.2285e-07 - accuracy: 1.0000 - val_loss: 19.2236 - val_accuracy: 0.3531
Epoch 9797/10000
16/16 [==============================] - 1s 42ms/step - loss: 5.1856e-07 - accuracy: 1.0000 - val_loss: 19.2255 - val_accuracy: 0.3531
Epoch 9798/10000
16/16 [==============================] - 1s 42ms/step - loss: 5.1689e-07 - accuracy: 1.0000 - val_loss: 19.2270 - val_accuracy: 0.3531
Epoch 9799/10000
16/16 [==============================] - 1s 45ms/step - loss: 5.1236e-07 - accuracy: 1.0000 - val_loss: 19.2298 - val_accuracy: 0.3531
Epoch 9800/10000
16/16 [==============================] - 1s 43ms/step - loss: 5.0902e-07 - accuracy: 1.0000 - val_loss: 19.2319 - val_accuracy: 0.3531
Epoch 9801/10000
16/16 [==============================] - 1s 42ms/step - loss: 5.0688e-07 - accuracy: 1.0000 - val_loss: 19.2319 - val_accuracy: 0.3532
Epoch 9802/10000
16/16 [==============================] - 1s 42ms/step - loss: 5.0378e-07 - accuracy: 1.0000 - val_loss: 19.2352 - val_accuracy: 0.3531
Epoch 9803/10000
16/16 [==============================] - 1s 42ms/step - loss: 4.9925e-07 - accuracy: 1.0000 - val_loss: 19.2361 - val_accuracy: 0.3533
Epoch 9804/10000
16/16 [==============================] - 1s 42ms/step - loss: 4.9615e-07 - accuracy: 1.0000 - val_loss: 19.2382 - val_accuracy: 0.3532
Epoch 9805/10000
16/16 [==============================] - 1s 43ms/step - loss: 4.9233e-07 - accuracy: 1.0000 - val_loss: 19.2395 - val_accuracy: 0.3533
Epoch 9806/10000
16/16 [==============================] - 1s 43ms/step - loss: 4.8828e-07 - accuracy: 1.0000 - val_loss: 19.2416 - val_accuracy: 0.3534
Epoch 9807/10000
16/16 [==============================] - 1s 43ms/step - loss: 4.8470e-07 - accuracy: 1.0000 - val_loss: 19.2434 - val_accuracy: 0.3534
Epoch 9808/10000
16/16 [==============================] - 1s 44ms/step - loss: 4.8113e-07 - accuracy: 1.0000 - val_loss: 19.2448 - val_accuracy: 0.3535
Epoch 9809/10000
16/16 [==============================] - 1s 41ms/step - loss: 4.8065e-07 - accuracy: 1.0000 - val_loss: 19.2466 - val_accuracy: 0.3534
Epoch 9810/10000
16/16 [==============================] - 1s 43ms/step - loss: 4.7731e-07 - accuracy: 1.0000 - val_loss: 19.2489 - val_accuracy: 0.3535
Epoch 9811/10000
16/16 [==============================] - 1s 42ms/step - loss: 4.7517e-07 - accuracy: 1.0000 - val_loss: 19.2512 - val_accuracy: 0.3534
Epoch 9812/10000
16/16 [==============================] - 1s 44ms/step - loss: 4.7088e-07 - accuracy: 1.0000 - val_loss: 19.2525 - val_accuracy: 0.3534
Epoch 9813/10000
16/16 [==============================] - 1s 42ms/step - loss: 4.6682e-07 - accuracy: 1.0000 - val_loss: 19.2540 - val_accuracy: 0.3534
Epoch 9814/10000
16/16 [==============================] - 1s 44ms/step - loss: 4.6325e-07 - accuracy: 1.0000 - val_loss: 19.2563 - val_accuracy: 0.3536
Epoch 9815/10000
16/16 [==============================] - 1s 42ms/step - loss: 4.6015e-07 - accuracy: 1.0000 - val_loss: 19.2585 - val_accuracy: 0.3535
Epoch 9816/10000
16/16 [==============================] - 1s 42ms/step - loss: 4.5776e-07 - accuracy: 1.0000 - val_loss: 19.2597 - val_accuracy: 0.3534
Epoch 9817/10000
16/16 [==============================] - 1s 45ms/step - loss: 4.5633e-07 - accuracy: 1.0000 - val_loss: 19.2607 - val_accuracy: 0.3534
Epoch 9818/10000
16/16 [==============================] - 1s 42ms/step - loss: 4.5276e-07 - accuracy: 1.0000 - val_loss: 19.2638 - val_accuracy: 0.3534
Epoch 9819/10000
16/16 [==============================] - 1s 43ms/step - loss: 4.4966e-07 - accuracy: 1.0000 - val_loss: 19.2648 - val_accuracy: 0.3532
Epoch 9820/10000
16/16 [==============================] - 1s 41ms/step - loss: 4.4608e-07 - accuracy: 1.0000 - val_loss: 19.2672 - val_accuracy: 0.3533
Epoch 9821/10000
16/16 [==============================] - 1s 42ms/step - loss: 4.4250e-07 - accuracy: 1.0000 - val_loss: 19.2693 - val_accuracy: 0.3533
Epoch 9822/10000
16/16 [==============================] - 1s 41ms/step - loss: 4.3964e-07 - accuracy: 1.0000 - val_loss: 19.2711 - val_accuracy: 0.3532
Epoch 9823/10000
16/16 [==============================] - 1s 42ms/step - loss: 4.3535e-07 - accuracy: 1.0000 - val_loss: 19.2725 - val_accuracy: 0.3533
Epoch 9824/10000
16/16 [==============================] - 1s 41ms/step - loss: 4.3321e-07 - accuracy: 1.0000 - val_loss: 19.2742 - val_accuracy: 0.3532
Epoch 9825/10000
16/16 [==============================] - 1s 44ms/step - loss: 4.3154e-07 - accuracy: 1.0000 - val_loss: 19.2755 - val_accuracy: 0.3531
Epoch 9826/10000
16/16 [==============================] - 1s 43ms/step - loss: 4.2820e-07 - accuracy: 1.0000 - val_loss: 19.2777 - val_accuracy: 0.3531
Epoch 9827/10000
16/16 [==============================] - 1s 44ms/step - loss: 4.2605e-07 - accuracy: 1.0000 - val_loss: 19.2782 - val_accuracy: 0.3530
Epoch 9828/10000
16/16 [==============================] - 1s 44ms/step - loss: 4.2295e-07 - accuracy: 1.0000 - val_loss: 19.2809 - val_accuracy: 0.3530
Epoch 9829/10000
16/16 [==============================] - 1s 44ms/step - loss: 4.2152e-07 - accuracy: 1.0000 - val_loss: 19.2830 - val_accuracy: 0.3530
Epoch 9830/10000
16/16 [==============================] - 1s 42ms/step - loss: 4.1771e-07 - accuracy: 1.0000 - val_loss: 19.2844 - val_accuracy: 0.3530
Epoch 9831/10000
16/16 [==============================] - 1s 44ms/step - loss: 4.1413e-07 - accuracy: 1.0000 - val_loss: 19.2858 - val_accuracy: 0.3529
Epoch 9832/10000
16/16 [==============================] - 1s 43ms/step - loss: 4.1222e-07 - accuracy: 1.0000 - val_loss: 19.2879 - val_accuracy: 0.3529
Epoch 9833/10000
16/16 [==============================] - 1s 41ms/step - loss: 4.0936e-07 - accuracy: 1.0000 - val_loss: 19.2896 - val_accuracy: 0.3529
Epoch 9834/10000
16/16 [==============================] - 1s 42ms/step - loss: 4.0674e-07 - accuracy: 1.0000 - val_loss: 19.2918 - val_accuracy: 0.3528
Epoch 9835/10000
16/16 [==============================] - 1s 41ms/step - loss: 4.0340e-07 - accuracy: 1.0000 - val_loss: 19.2940 - val_accuracy: 0.3529
Epoch 9836/10000
16/16 [==============================] - 1s 43ms/step - loss: 4.0078e-07 - accuracy: 1.0000 - val_loss: 19.2956 - val_accuracy: 0.3528
Epoch 9837/10000
16/16 [==============================] - 1s 42ms/step - loss: 3.9816e-07 - accuracy: 1.0000 - val_loss: 19.2959 - val_accuracy: 0.3528
Epoch 9838/10000
16/16 [==============================] - 1s 43ms/step - loss: 3.9458e-07 - accuracy: 1.0000 - val_loss: 19.2987 - val_accuracy: 0.3528
Epoch 9839/10000
16/16 [==============================] - 1s 42ms/step - loss: 3.9220e-07 - accuracy: 1.0000 - val_loss: 19.2996 - val_accuracy: 0.3528
Epoch 9840/10000
16/16 [==============================] - 1s 41ms/step - loss: 3.8910e-07 - accuracy: 1.0000 - val_loss: 19.3014 - val_accuracy: 0.3528
Epoch 9841/10000
16/16 [==============================] - 1s 42ms/step - loss: 3.8814e-07 - accuracy: 1.0000 - val_loss: 19.3041 - val_accuracy: 0.3528
Epoch 9842/10000
16/16 [==============================] - 1s 42ms/step - loss: 3.8457e-07 - accuracy: 1.0000 - val_loss: 19.3056 - val_accuracy: 0.3527
Epoch 9843/10000
16/16 [==============================] - 1s 42ms/step - loss: 3.8195e-07 - accuracy: 1.0000 - val_loss: 19.3078 - val_accuracy: 0.3528
Epoch 9844/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.7932e-07 - accuracy: 1.0000 - val_loss: 19.3089 - val_accuracy: 0.3528
Epoch 9845/10000
16/16 [==============================] - 1s 43ms/step - loss: 3.7765e-07 - accuracy: 1.0000 - val_loss: 19.3118 - val_accuracy: 0.3530
Epoch 9846/10000
16/16 [==============================] - 1s 43ms/step - loss: 3.7503e-07 - accuracy: 1.0000 - val_loss: 19.3129 - val_accuracy: 0.3529
Epoch 9847/10000
16/16 [==============================] - 1s 43ms/step - loss: 3.7122e-07 - accuracy: 1.0000 - val_loss: 19.3155 - val_accuracy: 0.3529
Epoch 9848/10000
16/16 [==============================] - 1s 41ms/step - loss: 3.7002e-07 - accuracy: 1.0000 - val_loss: 19.3172 - val_accuracy: 0.3529
Epoch 9849/10000
16/16 [==============================] - 1s 43ms/step - loss: 3.6812e-07 - accuracy: 1.0000 - val_loss: 19.3177 - val_accuracy: 0.3530
Epoch 9850/10000
16/16 [==============================] - 1s 41ms/step - loss: 3.6573e-07 - accuracy: 1.0000 - val_loss: 19.3202 - val_accuracy: 0.3529
Epoch 9851/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.6335e-07 - accuracy: 1.0000 - val_loss: 19.3220 - val_accuracy: 0.3529
Epoch 9852/10000
16/16 [==============================] - 1s 42ms/step - loss: 3.6096e-07 - accuracy: 1.0000 - val_loss: 19.3257 - val_accuracy: 0.3529
Epoch 9853/10000
16/16 [==============================] - 1s 41ms/step - loss: 3.5930e-07 - accuracy: 1.0000 - val_loss: 19.3260 - val_accuracy: 0.3529
Epoch 9854/10000
16/16 [==============================] - 1s 45ms/step - loss: 3.5763e-07 - accuracy: 1.0000 - val_loss: 19.3270 - val_accuracy: 0.3531
Epoch 9855/10000
16/16 [==============================] - 1s 43ms/step - loss: 3.5381e-07 - accuracy: 1.0000 - val_loss: 19.3301 - val_accuracy: 0.3529
Epoch 9856/10000
16/16 [==============================] - 1s 41ms/step - loss: 3.5167e-07 - accuracy: 1.0000 - val_loss: 19.3322 - val_accuracy: 0.3531
Epoch 9857/10000
16/16 [==============================] - 1s 43ms/step - loss: 3.4881e-07 - accuracy: 1.0000 - val_loss: 19.3340 - val_accuracy: 0.3531
Epoch 9858/10000
16/16 [==============================] - 1s 42ms/step - loss: 3.4785e-07 - accuracy: 1.0000 - val_loss: 19.3357 - val_accuracy: 0.3529
Epoch 9859/10000
16/16 [==============================] - 1s 41ms/step - loss: 3.4547e-07 - accuracy: 1.0000 - val_loss: 19.3375 - val_accuracy: 0.3530
Epoch 9860/10000
16/16 [==============================] - 1s 42ms/step - loss: 3.4165e-07 - accuracy: 1.0000 - val_loss: 19.3393 - val_accuracy: 0.3530
Epoch 9861/10000
16/16 [==============================] - 1s 41ms/step - loss: 3.3975e-07 - accuracy: 1.0000 - val_loss: 19.3415 - val_accuracy: 0.3531
Epoch 9862/10000
16/16 [==============================] - 1s 41ms/step - loss: 3.3760e-07 - accuracy: 1.0000 - val_loss: 19.3440 - val_accuracy: 0.3529
Epoch 9863/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.3617e-07 - accuracy: 1.0000 - val_loss: 19.3454 - val_accuracy: 0.3530
Epoch 9864/10000
16/16 [==============================] - 1s 41ms/step - loss: 3.3331e-07 - accuracy: 1.0000 - val_loss: 19.3480 - val_accuracy: 0.3530
Epoch 9865/10000
16/16 [==============================] - 1s 39ms/step - loss: 3.3069e-07 - accuracy: 1.0000 - val_loss: 19.3495 - val_accuracy: 0.3528
Epoch 9866/10000
16/16 [==============================] - 1s 41ms/step - loss: 3.2782e-07 - accuracy: 1.0000 - val_loss: 19.3509 - val_accuracy: 0.3528
Epoch 9867/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.2520e-07 - accuracy: 1.0000 - val_loss: 19.3534 - val_accuracy: 0.3529
Epoch 9868/10000
16/16 [==============================] - 1s 41ms/step - loss: 3.2401e-07 - accuracy: 1.0000 - val_loss: 19.3559 - val_accuracy: 0.3530
Epoch 9869/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.2115e-07 - accuracy: 1.0000 - val_loss: 19.3570 - val_accuracy: 0.3529
Epoch 9870/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.1972e-07 - accuracy: 1.0000 - val_loss: 19.3588 - val_accuracy: 0.3528
Epoch 9871/10000
16/16 [==============================] - 1s 38ms/step - loss: 3.1733e-07 - accuracy: 1.0000 - val_loss: 19.3601 - val_accuracy: 0.3528
Epoch 9872/10000
16/16 [==============================] - 1s 41ms/step - loss: 3.1590e-07 - accuracy: 1.0000 - val_loss: 19.3612 - val_accuracy: 0.3529
Epoch 9873/10000
16/16 [==============================] - 1s 41ms/step - loss: 3.1376e-07 - accuracy: 1.0000 - val_loss: 19.3650 - val_accuracy: 0.3531
Epoch 9874/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.1233e-07 - accuracy: 1.0000 - val_loss: 19.3658 - val_accuracy: 0.3531
Epoch 9875/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.0804e-07 - accuracy: 1.0000 - val_loss: 19.3685 - val_accuracy: 0.3530
Epoch 9876/10000
16/16 [==============================] - 1s 42ms/step - loss: 3.0780e-07 - accuracy: 1.0000 - val_loss: 19.3713 - val_accuracy: 0.3530
Epoch 9877/10000
16/16 [==============================] - 1s 40ms/step - loss: 3.0565e-07 - accuracy: 1.0000 - val_loss: 19.3718 - val_accuracy: 0.3532
Epoch 9878/10000
16/16 [==============================] - 1s 43ms/step - loss: 3.0351e-07 - accuracy: 1.0000 - val_loss: 19.3738 - val_accuracy: 0.3533
Epoch 9879/10000
16/16 [==============================] - 1s 42ms/step - loss: 3.0041e-07 - accuracy: 1.0000 - val_loss: 19.3761 - val_accuracy: 0.3531
Epoch 9880/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.9826e-07 - accuracy: 1.0000 - val_loss: 19.3776 - val_accuracy: 0.3529
Epoch 9881/10000
16/16 [==============================] - 1s 42ms/step - loss: 2.9659e-07 - accuracy: 1.0000 - val_loss: 19.3798 - val_accuracy: 0.3530
Epoch 9882/10000
16/16 [==============================] - 1s 43ms/step - loss: 2.9421e-07 - accuracy: 1.0000 - val_loss: 19.3817 - val_accuracy: 0.3529
Epoch 9883/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.9230e-07 - accuracy: 1.0000 - val_loss: 19.3844 - val_accuracy: 0.3528
Epoch 9884/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.9087e-07 - accuracy: 1.0000 - val_loss: 19.3861 - val_accuracy: 0.3528
Epoch 9885/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.8777e-07 - accuracy: 1.0000 - val_loss: 19.3887 - val_accuracy: 0.3527
Epoch 9886/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.8467e-07 - accuracy: 1.0000 - val_loss: 19.3901 - val_accuracy: 0.3527
Epoch 9887/10000
16/16 [==============================] - 1s 42ms/step - loss: 2.8300e-07 - accuracy: 1.0000 - val_loss: 19.3912 - val_accuracy: 0.3527
Epoch 9888/10000
16/16 [==============================] - 1s 43ms/step - loss: 2.8062e-07 - accuracy: 1.0000 - val_loss: 19.3935 - val_accuracy: 0.3528
Epoch 9889/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.7895e-07 - accuracy: 1.0000 - val_loss: 19.3957 - val_accuracy: 0.3529
Epoch 9890/10000
16/16 [==============================] - 1s 42ms/step - loss: 2.7776e-07 - accuracy: 1.0000 - val_loss: 19.3981 - val_accuracy: 0.3528
Epoch 9891/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.7537e-07 - accuracy: 1.0000 - val_loss: 19.4004 - val_accuracy: 0.3527
Epoch 9892/10000
16/16 [==============================] - 1s 43ms/step - loss: 2.7275e-07 - accuracy: 1.0000 - val_loss: 19.4025 - val_accuracy: 0.3527
Epoch 9893/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.7227e-07 - accuracy: 1.0000 - val_loss: 19.4042 - val_accuracy: 0.3526
Epoch 9894/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.7060e-07 - accuracy: 1.0000 - val_loss: 19.4061 - val_accuracy: 0.3527
Epoch 9895/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.6870e-07 - accuracy: 1.0000 - val_loss: 19.4077 - val_accuracy: 0.3526
Epoch 9896/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.6655e-07 - accuracy: 1.0000 - val_loss: 19.4098 - val_accuracy: 0.3525
Epoch 9897/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.6393e-07 - accuracy: 1.0000 - val_loss: 19.4117 - val_accuracy: 0.3526
Epoch 9898/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.6321e-07 - accuracy: 1.0000 - val_loss: 19.4137 - val_accuracy: 0.3526
Epoch 9899/10000
16/16 [==============================] - 1s 42ms/step - loss: 2.6059e-07 - accuracy: 1.0000 - val_loss: 19.4159 - val_accuracy: 0.3525
Epoch 9900/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.5988e-07 - accuracy: 1.0000 - val_loss: 19.4175 - val_accuracy: 0.3527
Epoch 9901/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.5773e-07 - accuracy: 1.0000 - val_loss: 19.4199 - val_accuracy: 0.3528
Epoch 9902/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.5630e-07 - accuracy: 1.0000 - val_loss: 19.4217 - val_accuracy: 0.3526
Epoch 9903/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.5463e-07 - accuracy: 1.0000 - val_loss: 19.4242 - val_accuracy: 0.3527
Epoch 9904/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.5320e-07 - accuracy: 1.0000 - val_loss: 19.4260 - val_accuracy: 0.3526
Epoch 9905/10000
16/16 [==============================] - 1s 44ms/step - loss: 2.5225e-07 - accuracy: 1.0000 - val_loss: 19.4274 - val_accuracy: 0.3526
Epoch 9906/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.5010e-07 - accuracy: 1.0000 - val_loss: 19.4279 - val_accuracy: 0.3525
Epoch 9907/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.4867e-07 - accuracy: 1.0000 - val_loss: 19.4306 - val_accuracy: 0.3525
Epoch 9908/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.4486e-07 - accuracy: 1.0000 - val_loss: 19.4326 - val_accuracy: 0.3524
Epoch 9909/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.4390e-07 - accuracy: 1.0000 - val_loss: 19.4358 - val_accuracy: 0.3527
Epoch 9910/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.4199e-07 - accuracy: 1.0000 - val_loss: 19.4380 - val_accuracy: 0.3527
Epoch 9911/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.4009e-07 - accuracy: 1.0000 - val_loss: 19.4409 - val_accuracy: 0.3529
Epoch 9912/10000
16/16 [==============================] - 1s 42ms/step - loss: 2.3842e-07 - accuracy: 1.0000 - val_loss: 19.4439 - val_accuracy: 0.3530
Epoch 9913/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.3603e-07 - accuracy: 1.0000 - val_loss: 19.4458 - val_accuracy: 0.3530
Epoch 9914/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.3460e-07 - accuracy: 1.0000 - val_loss: 19.4486 - val_accuracy: 0.3527
Epoch 9915/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.3270e-07 - accuracy: 1.0000 - val_loss: 19.4501 - val_accuracy: 0.3530
Epoch 9916/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.3055e-07 - accuracy: 1.0000 - val_loss: 19.4530 - val_accuracy: 0.3529
Epoch 9917/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.2912e-07 - accuracy: 1.0000 - val_loss: 19.4552 - val_accuracy: 0.3529
Epoch 9918/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.2626e-07 - accuracy: 1.0000 - val_loss: 19.4576 - val_accuracy: 0.3527
Epoch 9919/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.2578e-07 - accuracy: 1.0000 - val_loss: 19.4605 - val_accuracy: 0.3528
Epoch 9920/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.2387e-07 - accuracy: 1.0000 - val_loss: 19.4630 - val_accuracy: 0.3528
Epoch 9921/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.2244e-07 - accuracy: 1.0000 - val_loss: 19.4645 - val_accuracy: 0.3530
Epoch 9922/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.2125e-07 - accuracy: 1.0000 - val_loss: 19.4678 - val_accuracy: 0.3529
Epoch 9923/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.2030e-07 - accuracy: 1.0000 - val_loss: 19.4690 - val_accuracy: 0.3530
Epoch 9924/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.1934e-07 - accuracy: 1.0000 - val_loss: 19.4728 - val_accuracy: 0.3531
Epoch 9925/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.1505e-07 - accuracy: 1.0000 - val_loss: 19.4743 - val_accuracy: 0.3532
Epoch 9926/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.1386e-07 - accuracy: 1.0000 - val_loss: 19.4760 - val_accuracy: 0.3531
Epoch 9927/10000
16/16 [==============================] - 1s 42ms/step - loss: 2.1267e-07 - accuracy: 1.0000 - val_loss: 19.4788 - val_accuracy: 0.3531
Epoch 9928/10000
16/16 [==============================] - 1s 41ms/step - loss: 2.1124e-07 - accuracy: 1.0000 - val_loss: 19.4811 - val_accuracy: 0.3533
Epoch 9929/10000
16/16 [==============================] - 1s 44ms/step - loss: 2.1005e-07 - accuracy: 1.0000 - val_loss: 19.4836 - val_accuracy: 0.3534
Epoch 9930/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.0933e-07 - accuracy: 1.0000 - val_loss: 19.4859 - val_accuracy: 0.3532
Epoch 9931/10000
16/16 [==============================] - 1s 42ms/step - loss: 2.0862e-07 - accuracy: 1.0000 - val_loss: 19.4873 - val_accuracy: 0.3533
Epoch 9932/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.0671e-07 - accuracy: 1.0000 - val_loss: 19.4907 - val_accuracy: 0.3534
Epoch 9933/10000
16/16 [==============================] - 1s 42ms/step - loss: 2.0528e-07 - accuracy: 1.0000 - val_loss: 19.4922 - val_accuracy: 0.3534
Epoch 9934/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.0313e-07 - accuracy: 1.0000 - val_loss: 19.4951 - val_accuracy: 0.3533
Epoch 9935/10000
16/16 [==============================] - 1s 40ms/step - loss: 2.0170e-07 - accuracy: 1.0000 - val_loss: 19.4988 - val_accuracy: 0.3534
Epoch 9936/10000
16/16 [==============================] - 1s 39ms/step - loss: 2.0027e-07 - accuracy: 1.0000 - val_loss: 19.5004 - val_accuracy: 0.3534
Epoch 9937/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.9789e-07 - accuracy: 1.0000 - val_loss: 19.5017 - val_accuracy: 0.3535
Epoch 9938/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.9693e-07 - accuracy: 1.0000 - val_loss: 19.5037 - val_accuracy: 0.3535
Epoch 9939/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.9431e-07 - accuracy: 1.0000 - val_loss: 19.5060 - val_accuracy: 0.3535
Epoch 9940/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.9288e-07 - accuracy: 1.0000 - val_loss: 19.5078 - val_accuracy: 0.3536
Epoch 9941/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.9169e-07 - accuracy: 1.0000 - val_loss: 19.5111 - val_accuracy: 0.3537
Epoch 9942/10000
16/16 [==============================] - 1s 38ms/step - loss: 1.9050e-07 - accuracy: 1.0000 - val_loss: 19.5115 - val_accuracy: 0.3535
Epoch 9943/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.8835e-07 - accuracy: 1.0000 - val_loss: 19.5146 - val_accuracy: 0.3534
Epoch 9944/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.8740e-07 - accuracy: 1.0000 - val_loss: 19.5180 - val_accuracy: 0.3535
Epoch 9945/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.8573e-07 - accuracy: 1.0000 - val_loss: 19.5207 - val_accuracy: 0.3535
Epoch 9946/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.8525e-07 - accuracy: 1.0000 - val_loss: 19.5220 - val_accuracy: 0.3535
Epoch 9947/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.8382e-07 - accuracy: 1.0000 - val_loss: 19.5249 - val_accuracy: 0.3534
Epoch 9948/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.8311e-07 - accuracy: 1.0000 - val_loss: 19.5264 - val_accuracy: 0.3535
Epoch 9949/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.8239e-07 - accuracy: 1.0000 - val_loss: 19.5294 - val_accuracy: 0.3535
Epoch 9950/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.8024e-07 - accuracy: 1.0000 - val_loss: 19.5321 - val_accuracy: 0.3535
Epoch 9951/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.7929e-07 - accuracy: 1.0000 - val_loss: 19.5350 - val_accuracy: 0.3537
Epoch 9952/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.7881e-07 - accuracy: 1.0000 - val_loss: 19.5356 - val_accuracy: 0.3535
Epoch 9953/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.7786e-07 - accuracy: 1.0000 - val_loss: 19.5384 - val_accuracy: 0.3536
Epoch 9954/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.7548e-07 - accuracy: 1.0000 - val_loss: 19.5400 - val_accuracy: 0.3536
Epoch 9955/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.7405e-07 - accuracy: 1.0000 - val_loss: 19.5416 - val_accuracy: 0.3539
Epoch 9956/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.7333e-07 - accuracy: 1.0000 - val_loss: 19.5447 - val_accuracy: 0.3537
Epoch 9957/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.7261e-07 - accuracy: 1.0000 - val_loss: 19.5485 - val_accuracy: 0.3538
Epoch 9958/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.7118e-07 - accuracy: 1.0000 - val_loss: 19.5499 - val_accuracy: 0.3539
Epoch 9959/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.7047e-07 - accuracy: 1.0000 - val_loss: 19.5517 - val_accuracy: 0.3538
Epoch 9960/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.6928e-07 - accuracy: 1.0000 - val_loss: 19.5533 - val_accuracy: 0.3540
Epoch 9961/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.6856e-07 - accuracy: 1.0000 - val_loss: 19.5566 - val_accuracy: 0.3539
Epoch 9962/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.6785e-07 - accuracy: 1.0000 - val_loss: 19.5587 - val_accuracy: 0.3538
Epoch 9963/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.6665e-07 - accuracy: 1.0000 - val_loss: 19.5605 - val_accuracy: 0.3538
Epoch 9964/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.6475e-07 - accuracy: 1.0000 - val_loss: 19.5626 - val_accuracy: 0.3537
Epoch 9965/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.6332e-07 - accuracy: 1.0000 - val_loss: 19.5647 - val_accuracy: 0.3539
Epoch 9966/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.6117e-07 - accuracy: 1.0000 - val_loss: 19.5669 - val_accuracy: 0.3537
Epoch 9967/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.6093e-07 - accuracy: 1.0000 - val_loss: 19.5696 - val_accuracy: 0.3538
Epoch 9968/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.5903e-07 - accuracy: 1.0000 - val_loss: 19.5721 - val_accuracy: 0.3538
Epoch 9969/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.5855e-07 - accuracy: 1.0000 - val_loss: 19.5746 - val_accuracy: 0.3540
Epoch 9970/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.5664e-07 - accuracy: 1.0000 - val_loss: 19.5760 - val_accuracy: 0.3540
Epoch 9971/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.5664e-07 - accuracy: 1.0000 - val_loss: 19.5785 - val_accuracy: 0.3541
Epoch 9972/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.5473e-07 - accuracy: 1.0000 - val_loss: 19.5816 - val_accuracy: 0.3544
Epoch 9973/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.5378e-07 - accuracy: 1.0000 - val_loss: 19.5818 - val_accuracy: 0.3543
Epoch 9974/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.5378e-07 - accuracy: 1.0000 - val_loss: 19.5840 - val_accuracy: 0.3542
Epoch 9975/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.5163e-07 - accuracy: 1.0000 - val_loss: 19.5868 - val_accuracy: 0.3544
Epoch 9976/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.5044e-07 - accuracy: 1.0000 - val_loss: 19.5892 - val_accuracy: 0.3543
Epoch 9977/10000
16/16 [==============================] - 1s 43ms/step - loss: 1.4973e-07 - accuracy: 1.0000 - val_loss: 19.5922 - val_accuracy: 0.3544
Epoch 9978/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.4806e-07 - accuracy: 1.0000 - val_loss: 19.5948 - val_accuracy: 0.3545
Epoch 9979/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.4544e-07 - accuracy: 1.0000 - val_loss: 19.5968 - val_accuracy: 0.3546
Epoch 9980/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.4472e-07 - accuracy: 1.0000 - val_loss: 19.5998 - val_accuracy: 0.3545
Epoch 9981/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.4400e-07 - accuracy: 1.0000 - val_loss: 19.6024 - val_accuracy: 0.3547
Epoch 9982/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.4305e-07 - accuracy: 1.0000 - val_loss: 19.6039 - val_accuracy: 0.3546
Epoch 9983/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.4257e-07 - accuracy: 1.0000 - val_loss: 19.6082 - val_accuracy: 0.3546
Epoch 9984/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.4091e-07 - accuracy: 1.0000 - val_loss: 19.6095 - val_accuracy: 0.3546
Epoch 9985/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.4043e-07 - accuracy: 1.0000 - val_loss: 19.6114 - val_accuracy: 0.3547
Epoch 9986/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.3995e-07 - accuracy: 1.0000 - val_loss: 19.6161 - val_accuracy: 0.3547
Epoch 9987/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.3828e-07 - accuracy: 1.0000 - val_loss: 19.6173 - val_accuracy: 0.3546
Epoch 9988/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.3709e-07 - accuracy: 1.0000 - val_loss: 19.6219 - val_accuracy: 0.3547
Epoch 9989/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.3566e-07 - accuracy: 1.0000 - val_loss: 19.6241 - val_accuracy: 0.3547
Epoch 9990/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.3590e-07 - accuracy: 1.0000 - val_loss: 19.6271 - val_accuracy: 0.3547
Epoch 9991/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.3351e-07 - accuracy: 1.0000 - val_loss: 19.6295 - val_accuracy: 0.3546
Epoch 9992/10000
16/16 [==============================] - 1s 40ms/step - loss: 1.3423e-07 - accuracy: 1.0000 - val_loss: 19.6301 - val_accuracy: 0.3547
Epoch 9993/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.3280e-07 - accuracy: 1.0000 - val_loss: 19.6332 - val_accuracy: 0.3546
Epoch 9994/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.3232e-07 - accuracy: 1.0000 - val_loss: 19.6361 - val_accuracy: 0.3546
Epoch 9995/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.3137e-07 - accuracy: 1.0000 - val_loss: 19.6376 - val_accuracy: 0.3547
Epoch 9996/10000
16/16 [==============================] - 1s 39ms/step - loss: 1.3065e-07 - accuracy: 1.0000 - val_loss: 19.6411 - val_accuracy: 0.3547
Epoch 9997/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.2946e-07 - accuracy: 1.0000 - val_loss: 19.6416 - val_accuracy: 0.3548
Epoch 9998/10000
16/16 [==============================] - 1s 43ms/step - loss: 1.2827e-07 - accuracy: 1.0000 - val_loss: 19.6452 - val_accuracy: 0.3547
Epoch 9999/10000
16/16 [==============================] - 1s 41ms/step - loss: 1.2684e-07 - accuracy: 1.0000 - val_loss: 19.6477 - val_accuracy: 0.3547
Epoch 10000/10000
16/16 [==============================] - 1s 42ms/step - loss: 1.2636e-07 - accuracy: 1.0000 - val_loss: 19.6489 - val_accuracy: 0.3547
In [ ]:
#Capture results for every 100th epoch and visualize
baseline_list = []
for i in range(0,10000,100):
baseline_list.append(history2.history['val_accuracy'][i])
transfer_list = []
for i in range(0,10000,100):
transfer_list.append(history3.history['val_accuracy'][i])
epochs = range(0,10000,100)
plt.figure(figsize=(20,10))
plt.plot(epochs, baseline_list, 'r', label='Baseline')
plt.plot(epochs, transfer_list, 'b', label='Transfer')
plt.axis([None, None, 0, 1])
plt.title('Adam')
plt.xlabel('Epoch')
plt.ylabel('Test Accuracy %')
plt.legend()
plt.show()
In [ ]: